Partitional Clustering Algorithms

Specificaties
Gebonden, 415 blz. | Engels
Springer International Publishing | 2015e druk, 2014
ISBN13: 9783319092584
Rubricering
Springer International Publishing 2015e druk, 2014 9783319092584
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Samenvatting

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the field.

Specificaties

ISBN13:9783319092584
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:415
Uitgever:Springer International Publishing
Druk:2015

Inhoudsopgave

Recent developments in model-based clustering with applications.- Accelerating Lloyd’s algorithm for k-means clustering.- Linear, Deterministic, and Order-Invariant Initialization Methods for the K-Means Clustering Algorithm.- Nonsmooth optimization based algorithms in cluster analysis.- Fuzzy Clustering Algorithms and Validity Indices for Distributed Data.- Density Based Clustering: Alternatives to DBSCAN.- Nonnegative matrix factorization for interactive topic modeling and document clustering.- Overview of overlapping partitional clustering methods.- On Semi-Supervised Clustering.- Consensus of Clusterings based on High-order Dissimilarities.- Hubness-Based Clustering of High-Dimensional Data.- Clustering for Monitoring Distributed Data Streams.

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        Partitional Clustering Algorithms