Download or read book Microcluster Physics written by Satoru Sugano and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at providing graduate students and researchers with funda mental knowledge indispensable for entering the new field of "microclus 3 ters". Microclusters consisting of 10 to 10 atoms exhibit neither the pro perties of the corresponding bulk nor those of the corresponding molecule of a few atoms. The microclusters may be considered to form a new phase of materials lying between macroscopic solids and microscopic particles such as atoms and molecules, showing both macroscopic and microscopic features. However, research into such"a riew phase has been left untouched until recent years by the development of the quantum theory of matter. The microscopic features of microclusters were first revealed by ob serving anomalies of the mass spectrum of a Na cluster beam at specific sizes, called magic numbers. Then it was experimentally confirmed that the magic numbers come from the shell structure of valence electrons. Being stimulated by these epoch-making findings in metal microclusters and aided by progress of the experimental techniques producing relatively dense, non interacting micro clusters of various sizes in the form of micro cluster beams, the research field of microclusters has developed rapidly in these 5 to 7 years. The progress is also due to the improvement of computers and com putational techniques, which have made it possible to perform ab initio cal culations of the atomic and electronic structure of smaller microclusters, as well as to carry out computer simulations of their dynamics.
Download or read book Elementary Cluster Analysis written by James C. Bezdek and published by CRC Press. This book was released on 2022-10-17 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of packaged clustering programs means that anyone with data can easily do cluster analysis on it. But many users of this technology don't fully appreciate its many hidden dangers. In today's world of "grab and go algorithms," part of my motivation for writing this book is to provide users with a set of cautionary tales about cluster analysis, for it is very much an art as well as a science, and it is easy to stumble if you don't understand its pitfalls. Indeed, it is easy to trip over them even if you do! The parenthetical word usually in the title is very important, because all clustering algorithms can and do fail from time to time. Modern cluster analysis has become so technically intricate that it is often hard for the beginner or the non-specialist to appreciate and understand its many hidden dangers. Here's how Yogi Berra put it, and he was right: In theory there's no difference between theory and practice. In practice, there is ~Yogi Berra This book is a step backwards, to four classical methods for clustering in small, static data sets that have all withstood the tests of time. The youngest of the four methods is now almost 50 years old: Gaussian Mixture Decomposition (GMD, 1898) SAHN Clustering (principally single linkage (SL, 1909)) Hard c-means (HCM, 1956, also widely known as (aka) "k-means") Fuzzy c-means (FCM, 1973, reduces to HCM in a certain limit) The dates are the first known writing (to me, anyway) about these four models. I am (with apologies to Marvel Comics) very comfortable in calling HCM, FCM, GMD and SL the Fantastic Four. Cluster analysis is a vast topic. The overall picture in clustering is quite overwhelming, so any attempt to swim at the deep end of the pool in even a very specialized subfield requires a lot of training. But we all start out at the shallow end (or at least that's where we should start!), and this book is aimed squarely at teaching toddlers not to be afraid of the water. There is no section of this book that, if explored in real depth, cannot be expanded into its own volume. So, if your needs are for an in-depth treatment of all the latest developments in any topic in this volume, the best I can do - what I will try to do anyway - is lead you to the pool, and show you where to jump in.
Download or read book Data Clustering written by Charu C. Aggarwal and published by CRC Press. This book was released on 2018-09-03 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
Download or read book Data Mining Southeast Asia Edition written by Jiawei Han and published by Elsevier. This book was released on 2006-04-06 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site
Download or read book Immunological Synapse written by Takashi Saito and published by Springer Science & Business Media. This book was released on 2009-12-03 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proper physiological functioning of most eukaryotic cells requires their assembly into multi-cellular tissues that form organized organ systems. Cells of the immune system develop in bone marrow and lymphoid organs, but as the cells mature they leave these organs and circulate as single cells. Antigen receptors (TCRs) of T cells search for membrane MHC proteins that are bound to peptides derived from infectious pathogens or cellular transformations. The detection of such speci?c peptide–MHC antigens initiates T cell activation, adhesion, and immune-effectors functions. Studies of normal and transformed T cell lines and of T cells from transgenic mice led to comprehensive understanding of the mole- lar basis of antigen-receptor recognition and signaling. In spite of these remarkable genetic and biochemical advances, other key physiological mechanisms that par- cipate in sensing and decoding the immune context to induce the appropriate cellular immune responses remain unresolved. TCR recognition is tightly regulated to trigger sensitive but balanced T cell responses that result in the effective elimination of the pathogens while minimizing collateral damage to the host. The sensitivity of TCR recognition has to be properly tempered to prevent unintended activation by self-peptide–MHC complexes that cause autoimmune diseases. It is likely that once the TCR is engaged by a peptide– MHC and TCR signaling begins, additional regulatory mechanisms, involving other receptors, would increase the ?delity of the response.
Download or read book Cluster Models for Surface and Bulk Phenomena written by Gianfranco Pacchioni and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is widely recognized that an understanding of the physical and chemical properties of clusters will give a great deal of important information relevant to surface and bulk properties of condensed matter. This relevance of clusters for condensed matter is one of the major motivations for the study of atomic and molecular clusters. The changes of properties with cluster size, from small clusters containing only a few atoms to large clusters containing tens of thousands of atoms, provides a unique way to understand and to control the development of bulk properties as separated units are brought together to form an extended system. Another important use of clusters is as theoretical models of surfaces and bulk materials. The electronic wavefunctions for these cluster models have special advantages for understanding, in particular, the local properties of condensed matter. The cluster wavefunctions, obtained with molecular orbital theory, make it possible to relate chemical concepts developed to describe chemical bonds in molecules to the very closely related chemical bonding at the surface and in the bulk of condensed matter. The applications of clusters to phenomena in condensed matter is a cross-disciplinary activity which requires the interaction and collaboration of researchers in traditionally separate areas. For example, it is necessary to bring together workers whose background and expertise is molecular chemistry with those whose background is solid state physics. It is also necessary to bring together experimentalists and theoreticians.
Download or read book Clustering Methods for Big Data Analytics written by Olfa Nasraoui and published by Springer. This book was released on 2018-10-27 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.
Download or read book Microcluster Physics written by Satoru Sugano and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: A lucid account of the fundamental physics of all types of microclusters, outlining the dynamics and static properties of this new phase of matter between a solid and a molecule. Since the book's first publication, the field of microclusters has experienced surprising developments, which are reviewed in this new edition: The determination of atomic structure, spontaneous alloying, super-shell, fission, fragmentation, evaporation, magnetism, fullerenes, nanotubes, atomic structure of large silicon clusters, superfluidity of a He cluster, water clusters in liquid, electron correlation and optimizsation of the geometry, and scattering.
Download or read book Web Information Systems Engineering WISE 2018 written by Hakim Hacid and published by Springer. This book was released on 2018-10-20 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11233 and LNCS 11234 constitutes the proceedings of the 19th International Conference on Web Information Systems Engineering, WISE 2018, held in Dubai, United Arab Emirates, in November 2018. The 48 full papers and 21 short papers presented were carefully reviewed and selected from 209 submissions. The papers are organized in topical sections on blockchain, security, social network and security, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web services and cloud computing, data stream and distributed computing, data mining techniques, entity linkage and semantics, Web applications, and data mining applications.
Download or read book Data Mining written by Charu C. Aggarwal and published by Springer. This book was released on 2015-04-13 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago
Download or read book Evolutionary Computation Swarm Intelligence written by Fabio Caraffini and published by MDPI. This book was released on 2020-11-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.
Download or read book Fundamentals of Stream Processing written by Henrique C. M. Andrade and published by Cambridge University Press. This book was released on 2014-02-13 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches fundamentals of stream processing, covering application design, distributed systems infrastructure, and continuous analytic algorithms.
Download or read book Micro Clusters and Networks written by Ewen Michael and published by Routledge. This book was released on 2006-10-19 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new approach to the analysis and management of growth in small tourism markets for regional and rural locations. It recognizes from the outset that the vast bulk of the tourism industry’s product is delivered by small business enterprises and that many of these are located outside of metropolitan areas. Its central premise is that a myriad of small-scale clusters can provide an effective means to establish a local competitive advantage in tourism activities based on the resources of existing communities. The book brings together contemporary views of the potential of clustering theory to promote development in micro-markets, within the paradigm of competition, to create a new framework for regional development that might serve to enhance the growth of small-scale tourism destinations. Microclusters and Networks provides a theoretical explanation of how and why micro-clusters come about, with chapters by specialist authors to illustrate examples of their practice in the real world; but it goes further to demonstrate not only why they work but also how community members interact to form successful clusters. The incorporation of networking theory provides the means to explain the role of local community interaction in delivering successful social outcomes. The analysis that is provided clearly has applications for many industries beyond the development of rural and regional tourism destinations.
Download or read book Studies of the Structures Binding Properties and Defects in Alkali halide Microclusters written by Charles Woolsey Scranton Conover and published by . This book was released on 1990 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Studies of the Formation of Non metallic Microclusters and Color Center Type Defects in Alkali Halide Clusters written by Yongan Yang and published by . This book was released on 1991 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Electronic and Structural Properties of Metallic Microclusters written by Amitesh Maiti and published by . This book was released on 1992 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Microclusters written by Satoru Sugano and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the first in a series of biennial NEC Symposia on Fundamental Approaches to New Material Phases sponsored by the NEC Corporation, Tokyo, Japan. The symposium was held Octo ber 20-22, 1986, at Hakone Kanko Hotel in Hakone near Mt. Fuji, and on October 23 at NEC Laboratories in Kawasaki, Japan. About 40 partic ipants stayed together at the symposium sites during this period. They enjoyed intense and wide-ranging discussions in a conference room facing Mt. Fuji and the beautiful lake Ashinoko extending from the foot of the slope in the old crater. The title of the volume, Microclusters, means microscopic aggregates consisting of a few tens through a few hundreds of atoms. Microclusters, which are too big to be described as inorganic molecules but too small to have translational symmetry, are expected to show exotic properties which can be found in neither molecules nor solids. In the past few years the research field of microclusters has shown rapid and epoch-making de velopment. This is partly due to rapid development of the experimental techniques which have enabled the production of relatively dense, non interacting microclusters of various sizes in the form of cluster beams, thus allowing measurement of the properties of a free microcluster of a given size.
