An Introduction To Cluster Science
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An Introduction To Cluster Science
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Author : Phuong Mai Dinh
language : en
Publisher: John Wiley & Sons
Release Date : 2013-09-30
An Introduction To Cluster Science written by Phuong Mai Dinh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with Science categories.
Filling the need for a solid textbook, this short primer in cluster science is ideal for a one-semester lecture for advanced undergraduate students. It is based on a series of lectures given by the well-established and recognized authors for the past ten years. The book covers both the basics of the domain as well as up-to-date developments. It can be divided roughly into two parts. The first three chapters introduce basic concepts of cluster science. Chapter 1 provides a general introduction, complemented by chapter 2 on experimental and chapter 3 on theoretical aspects. The second half of the book is devoted to a systematic presentation of free cluster properties, and to a thorough discussion of the impact of clusters in other domains of science. These explicitly worked-out links between cluster physics and other research areas are unique both in terms of fundamental aspects and of applications, and cannot be found elsewhere in the literature. Also suitable for researchers outside of the field looking for an introduction to cluster science.
An Introduction To Clustering With R
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Author : Paolo Giordani
language : en
Publisher: Springer Nature
Release Date : 2020-08-27
An Introduction To Clustering With R written by Paolo Giordani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Mathematics categories.
The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available. The book is intended for researchers interested in applying clustering methods. Basic notions on theoretical issues and on R are provided so that professionals as well as novices with little or no background in the subject will benefit from the book.
Finding Groups In Data
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Author : Leonard Kaufman
language : en
Publisher: Wiley-Interscience
Release Date : 1990-03-22
Finding Groups In Data written by Leonard Kaufman and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-22 with Mathematics categories.
Partitioning around medoids (Program PAM). Clustering large applications (Program CLARA). Fuzzy analysis (Program FANNY). Agglomerative Nesting (Program AGNES). Divisive analysis (Program DIANA). Monothetic analysis (Program MONA). Appendix.
Clustering
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Author : Rui Xu
language : en
Publisher: John Wiley & Sons
Release Date : 2008-11-03
Clustering written by Rui Xu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-03 with Mathematics categories.
This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
Cluster Analysis And Data Mining
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Author : Ronald S. King
language : en
Publisher: Mercury Learning and Information
Release Date : 2015-05-12
Cluster Analysis And Data Mining written by Ronald S. King and has been published by Mercury Learning and Information this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-12 with Computers categories.
Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES *Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward’s method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.) *Contains separate chapters on JAN and the clustering of categorical data *Includes a companion disc with solutions to exercises, programs, data sets, charts, etc.
Introduction To Cluster Chemistry
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Author : D. M. P. Mingos
language : en
Publisher:
Release Date : 1990
Introduction To Cluster Chemistry written by D. M. P. Mingos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Science categories.
Introduction To Clustering Large And High Dimensional Data
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Author : Jacob Kogan
language : en
Publisher: Cambridge University Press
Release Date : 2007
Introduction To Clustering Large And High Dimensional Data written by Jacob Kogan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Focuses on a few of the important clustering algorithms in the context of information retrieval.
Clusters And Colloids
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Author : Günter Schmid
language : de
Publisher: John Wiley & Sons
Release Date : 2008-07-11
Clusters And Colloids written by Günter Schmid and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-11 with Science categories.
This book offers a comprehensive overview of the rapidly developing field of cluster science. In an interdisciplinary approach, basic concepts as well as recent developments in research and practical applications are authoritatively discussed by leading authors. Topics covered include 'naked' metal clusters, clusters stabilized by ligands, clusters in solids, and colloids. The reader will find answers to questions like: * How many metal atoms must a particle have to exhibit metallic properties? * How can the large specific surface of clusters and colloids be employed in catalysts? * How can metal clusters be introduced into solid hosts? * Which effects are responsible for the transition from isolated to condensed clusters? The editor has succeeded in bringing the contributions of various authors together into a homogeneous, readable book, which will be useful for the academic and industrial reader alike.
Clusters Of Atoms And Molecules
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Author : Hellmut Haberland
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Clusters Of Atoms And Molecules written by Hellmut Haberland and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Science categories.
Clusters of Atoms and Molecules I is devoted to theoretical concepts and experimental techniques important in the rapidly expanding field of cluster science. Cluster properties are dicussed for clusters composed of alkali metals, semiconductors, transition metals, carbon, oxides and halides of alkali metals, rare gases, and neutral molecules. The book contains several well-integrated treatments, all prepared by experts. Each contribution starts out as simple as possible and ends with the latest results, so that the book can serve as a text for a course, an introduction into the field, or as a reference book for the expert.
Clusters Of Atoms And Molecules Ii
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Author : Hellmut Haberland
language : en
Publisher: Springer
Release Date : 2011-12-21
Clusters Of Atoms And Molecules Ii written by Hellmut Haberland and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-21 with Science categories.
Cluster science studies the transition from atomic, and molecular physics or chemistry to the science and technology of condensed matter. Two main topics from this large field will be emphasized in this second volume of Atomic and Molecular Clusters. After an Introduction, Chap. 2 deals mainly with molecular clusters, how they react to positive or negative charges (Sect. 2.1 to 2.5), how they decompose and how they can be charged (Sect. 2.6 and 2.7), and how one can do chemistry with them (2.8 and 2.9). Clusters in contact with a macroscopic medium are treated in Chap. 3. It is from this domain that one can expect possible new applications of cluster science. The optical spectra of silver clusters in a dielectric medium are discussed in Sect. 3.1. Their properties have since long been used unknowingly to stain glass windows. Large clusters floating in an ambient pressure gas are called aerosols (Sect. 3.2). Their properties can be used to monitor air pollution. Development of a photographic film is due to supported silver clusters in a liquid environment (Sect. 3.3). Large semiconductor clusters, also called "quantum dots", have novel optical and electronic properties (Sect. 3.4). The optical properties of large clusters, in general, are reviewed in Sect. 3.5, and properties of clusters supported on clean surfaces are discussed in Sect. 3.6.