Partitional Clustering Algorithms (Record no. 57862)
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fixed length control field | 03513nam a22004575i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-09259-1 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112229.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 141107s2015 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319092591 |
-- | 978-3-319-09259-1 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
245 10 - TITLE STATEMENT | |
Title | Partitional Clustering Algorithms |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | X, 415 p. 78 illus., 45 illus. in color. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book summarizes the state-of-the-art in partitional clustering. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety of scientific disciplines including anthropology, biology, medicine, psychology, statistics, mathematics, engineering, and computer science. As a result, numerous clustering algorithms have been proposed since the early 1950s. Among these algorithms, partitional (nonhierarchical) ones have found many applications, especially in engineering and computer science. This book provides coverage of consensus clustering, constrained clustering, large scale and/or high dimensional clustering, cluster validity, cluster visualization, and applications of clustering. Examines clustering as it applies to large and/or high-dimensional data sets commonly encountered in realistic applications; Discusses algorithms specifically designed for partitional clustering; Covers center-based, competitive learning, density-based, fuzzy, graph-based, grid-based, metaheuristic, and model-based approaches. |
700 1# - AUTHOR 2 | |
Author 2 | Celebi, M. Emre. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-09259-1 |
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Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2015. |
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-- | computer |
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-- | online resource |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computers. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electrical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Communications Engineering, Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information Systems and Communication Service. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Image and Speech Processing. |
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-- | ZDB-2-ENG |
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