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Modern Algorithms of Cluster Analysis, Slawomir Wierzcho?; Mieczyslaw A. K?opotek


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Автор: Slawomir Wierzcho?; Mieczyslaw A. K?opotek
Название:  Modern Algorithms of Cluster Analysis
ISBN: 9783319693071
Издательство: Springer
Классификация:




ISBN-10: 3319693077
Обложка/Формат: Hardcover
Страницы: 370
Вес: 0.79 кг.
Дата издания: 29.01.2018
Серия: Studies in Big Data
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 100 tables, color; 51 illustrations, black and white; xx, 421 p. 51 illus.
Размер: 234 x 156 x 25
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem. Usually clustering involves choosing similar objects and grouping them together. To facilitate the choice of similarity measures for complex and big data, various measures of object similarity, based on quantitative (like numerical measurement results) and qualitative features (like text), as well as combinations of the two, are described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants demonstrating how such similarity measures can be exploited when defining clustering cost functions are also presented. In addition, the book provides an overview of approaches to handling large collections of objects in a reasonable time. In particular, it addresses grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches, especially those used for community detection.


Дополнительное описание: Introduction.- Cluster Analysis .- Algorithms of combinatorial cluster analysis .- Cluster quality versus choice of parameters .- Spectral clustering .-  Community discovery and identi?cation.- Data sets.



Cluster Analysis for Data Mining and System Identification

Автор: Abonyi JГЎnos, Feil BalГЎzs
Название: Cluster Analysis for Data Mining and System Identification
ISBN: 3764379871 ISBN-13(EAN): 9783764379872
Издательство: Springer
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Цена: 13969.00 р.
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Описание: This book presents new approaches to data mining and system identification. Algorithmsthat can be used for the clustering of data have been overviewed. New techniques andtools are presented for the clustering, classification, regression and visualization ofcomplex datasets. Special attention is given to the analysis of historical process data,tailored algorithms are presented for the data driven modeling of dynamical systems,determining the model order of nonlinear input-output black box models, and thesegmentation of multivariate time-series. The main methods and techniques areillustrated through several simulated and real-world applications from data mining andprocess engineering practice.The books is aimed primarily at practitioners, researches, and professionals in statistics,data mining, business intelligence, and systems engineering, but it is also accessible tograduate and undergraduate students in applied mathematics, computer science, electricaland process engineering. Familiarity with the basics of system identification and fuzzysystems is helpful but not required.

Fuzzy Sets in Information Retrieval and Cluster Analysis

Автор: S. Miyamoto
Название: Fuzzy Sets in Information Retrieval and Cluster Analysis
ISBN: 9048140676 ISBN-13(EAN): 9789048140671
Издательство: Springer
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Цена: 32144.00 р.
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Описание: The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis.

Clusters, Networks, and Innovation

Автор: Breschi, Stefano; Malerba, Franco
Название: Clusters, Networks, and Innovation
ISBN: 0199275564 ISBN-13(EAN): 9780199275564
Издательство: Oxford Academ
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Цена: 11722.00 р.
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Описание: Recent years have seen strong interest and a growing amount of research and teaching on the phenomenon of economic and business `clusters`. Even in a global world particular localities appear to have distinctive advantages. This book brings together cutting edge work on the issue by leading international scholars.

Fuzzy Sets in Information Retrieval and Cluster Analysis

Автор: S. Miyamoto
Название: Fuzzy Sets in Information Retrieval and Cluster Analysis
ISBN: 0792307216 ISBN-13(EAN): 9780792307211
Издательство: Springer
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Цена: 32144.00 р.
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Описание: The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis.

Heuristic Approach to Possibilistic Clustering: Algorithms a

Автор: Viattchenin Dmitri A
Название: Heuristic Approach to Possibilistic Clustering: Algorithms a
ISBN: 3642355358 ISBN-13(EAN): 9783642355356
Издательство: Springer
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Цена: 19591.00 р.
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Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications

Автор: Dmitri A. Viattchenin
Название: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
ISBN: 364244301X ISBN-13(EAN): 9783642443015
Издательство: Springer
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Цена: 16977.00 р.
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Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.

Multiobjective Genetic Algorithms for Clustering

Автор: Ujjwal Maulik; Sanghamitra Bandyopadhyay; Anirban
Название: Multiobjective Genetic Algorithms for Clustering
ISBN: 3642439632 ISBN-13(EAN): 9783642439636
Издательство: Springer
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Цена: 7680.00 р.
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Описание: This book covers clustering using multiobjective genetic algorithms, with extensive real-life application in data mining and bioinformatics. The authors offer instructions for relevant techniques, and demonstrate real-world applications in several disciplines.

Cluster Analysis

Автор: B. S. Duran; P. L. Odell
Название: Cluster Analysis
ISBN: 3540069542 ISBN-13(EAN): 9783540069546
Издательство: Springer
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Цена: 15372.00 р.
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Описание: A tremendous amount of work has been done over the last thirty years in cluster analysis, with a significant amount occurring since 1960. The main intent of the monograph is to give the reader a quick account of the prob- lem of cluster analysis and to expose to him the various aspects thereof.


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