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Theory of Agglomerative Hierarchical Clustering: Behaviormetrics: Quantitative Approaches to Human Behavior, cartea 15

Autor Sadaaki Miyamoto
en Limba Engleză Paperback – 23 mar 2023
This book discusses recent theoretical developments in agglomerative hierarchical clustering. The general understanding of agglomerative hierarchical clustering is that its theory was completed long ago and there is no room for further methodological studies, at least in its fundamental structure. This book has been planned counter to that view: it will show that there are possibilities for further theoretical studies and they will be not only for methodological interests but also for usefulness in real applications. When compared with traditional textbooks, the present book has several notable features. First, standard linkage methods and agglomerative procedure are described by a general algorithm in which dendrogram output is expressed by a recursive subprogram. That subprogram describes an abstract tree structure, which is used for a two-stage linkage method for a greater number of objects. A fundamental theorem for single linkage using a fuzzy graph is proved, which uncovers several theoretical features of single linkage. Other theoretical properties such as dendrogram reversals are discussed. New methods using positive-definite kernels are considered, and some properties of the Ward method using kernels are studied. Overall, theoretical features are discussed, but the results are useful as well for application-oriented users of agglomerative clustering.  

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Specificații

ISBN-13: 9789811904226
ISBN-10: 9811904227
Pagini: 109
Ilustrații: VIII, 109 p. 35 illus., 2 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.18 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Behaviormetrics: Quantitative Approaches to Human Behavior

Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Linkage Methods and Algorithms.- Theory of the Single Linkage Method.- Positive-Definite Kernels in Agglomerative Hierarchical Clustering.- Some Other Topics in Agglomerative Hierarchical Clustering.- Miscellanea.

Notă biografică

Dr. Miyamoto was born in Osaka, Japan, in 1950. He received the B.S., M.S., and the Dr. Eng. degrees in Applied Mathematics and Physics Engineering from Kyoto University, Japan, in 1973, 1975, and 1978, respectively. He was Assistant Professor from 1980 to 1987 and Associate Professor from 1987 to 1990 in the University of Tsukuba. He was Professor with the Faculty of Engineering, the University of Tokushima, where he was working from 1990 to 1994. After working as Professor at the University of Tsukuba from 1994, he retired on March 31, 2016, and became Professor Emeritus from April 1, 2016.
His research interests include methodology for fuzzy systems and uncertainty modeling. In particular, he has been working on data clustering algorithms and related classification methods, multisets, rough sets, and algorithms for data mining. He is Member of the Japan Society of Fuzzy Theory and Systems, and Japanese Classification Society. He has served a number of internationalconferences as Chair, Co-chair, and Committee Member. He received excellent paper awards from the Japan Society of Fuzzy Theory and Systems in 1994 and 1999. He has published three books of which two are in English and the other in Japanese. He also has published one edited book and over 300 research papers. His papers/books have been cited more than 2,000 times. He became a fellow of International Fuzzy Systems Association in 2007. He was also elected to be a fellow of Japanese Classification Society in 2017.

Textul de pe ultima copertă

This book discusses recent theoretical developments in agglomerative hierarchical clustering. The general understanding of agglomerative hierarchical clustering is that its theory was completed long ago and there is no room for further methodological studies, at least in its fundamental structure. This book has been planned counter to that view: it will show that there are possibilities for further theoretical studies and they will be not only for methodological interests but also for usefulness in real applications. When compared with traditional textbooks, the present book has several notable features. First, standard linkage methods and agglomerative procedure are described by a general algorithm in which dendrogram output is expressed by a recursive subprogram. That subprogram describes an abstract tree structure, which is used for a two-stage linkage method for a greater number of objects. A fundamental theorem for single linkage using a fuzzy graph is proved, which uncoversseveral theoretical features of single linkage. Other theoretical properties such as dendrogram reversals are discussed. New methods using positive-definite kernels are considered, and some properties of the Ward method using kernels are studied. Overall, theoretical features are discussed, but the results are useful as well for application-oriented users of agglomerative clustering.  

Caracteristici

Provides new findings on theoretical aspects of agglomerative hierarchical clustering Discusses theoretical foundations of some basic methods, e.g., single linkage, using a fuzzy concept Considers new aspects such as network clustering, use of positive definite kernels, and the extended Ward method