Автор: Slawomir Wierzcho?; Mieczyslaw A. K?opotek Название: Modern Algorithms of Cluster Analysis ISBN: 3319693077 ISBN-13(EAN): 9783319693071 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: S. Miyamoto Название: Fuzzy Sets in Information Retrieval and Cluster Analysis ISBN: 0792307216 ISBN-13(EAN): 9780792307211 Издательство: Springer Рейтинг: Цена: 32144.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present monograph intends to establish a solid link among three fields: fuzzy set theory, 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 Рейтинг: Цена: 32144.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis.
Автор: Abonyi JГЎnos, Feil BalГЎzs Название: Cluster Analysis for Data Mining and System Identification ISBN: 3764379871 ISBN-13(EAN): 9783764379872 Издательство: Springer Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Saman K. Halgamuge; Lipo Wang Название: Classification and Clustering for Knowledge Discovery ISBN: 3642065422 ISBN-13(EAN): 9783642065422 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees.
Автор: Mircea Vasile Diudea Название: Multi-shell Polyhedral Clusters ISBN: 3319641212 ISBN-13(EAN): 9783319641218 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents new methodologies and rationalizes existing methods that are used in the design of multi-shell polyhedral clusters. The author goes on to show how the recently established methods are used for building complex multi-shell nanostructures and how this completes the existing information in the field.
Автор: Fuad Aleskerov; Boris Goldengorin; Panos M. Pardal Название: Clusters, Orders, and Trees: Methods and Applications ISBN: 1493947990 ISBN-13(EAN): 9781493947997 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: L. Labhardt; B.W. Carney; B. Binggeli; W.E. Harris Название: Star Clusters ISBN: 3540676465 ISBN-13(EAN): 9783540676461 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Star clusters are at the heart of astronomy, being key objects for our understanding of stellar evolution and galactic structure. Bill Harris addresses globular clusters in external galaxies and their use as tracers of galaxy formation and cosmic distance indicators.
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