Mathematical Classification and Clustering
The goal of the book is threefold; first, to serve as a reference for the enormous amount of existing clustering concepts and methods; second, to be used as a textbook; and, third, to present the author's and his Russian colleagues' results in the perspective of current developments. It contains several unique features:
Audience: The book will be useful to both specialists and students in the field of data analysis and clustering as well as in biology, psychology, economics, marketing research, artificial intelligence, and other scientific disciplines.
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Classes and Clusters
12 Forms and Purposes of Classification
13 Table Data and Its Types
14 ColumnConditional Data and Clustering
15 Clustering Problems for Comparable Data
16 Clustering Problems for Aggregable Data
Geometry of Data Sets
Partition Square Data Table
51 Partition Structures
52 Admissibility in Agglomerative Clustering
53 Uniform Partitioning
54 Additive Clustering
55 Structured Partition and Block Model
56 Aggregation of Mobility Tables
Partition Rectangular Data Table
21 ColumnConditional Data
22 Transformation of Comparable Data
23 LowRank Approximation of Data
Clustering Algorithms a Review
31 A Typology of Clustering Algorithms
32 A Survey of Clustering Techniques
33 Interpretation Aids
Single Cluster Clustering
41 Subset as a Cluster Structure
Heuristics and Criteria
43 Moving Center
46 Multi Cluster Approximation
61 Bilinear Clustering for Mixed Data
62 KMeans and Bilinear Clustering
63 ContributionBased Analysis of Partitions
64 Partitioning in Aggregable Tables
Hierarchy as a Clustering Structure
71 Representing Hierarchy
72 Monotone Equivariant Methods
73 Ultrametrics and Tree Metrics
74 Split Decomposition Theory
75 Pyramids and Robinson Matrices
76 A Linear Theory for Binary Hierarchies
JSTOR: Mathematical Classification and Clustering.
Mathematical Classification and Clustering B Mirkin Kluwer Academic Publishers, London, 1996. xv + 428 pp. 140.00. ISBN 0 7923 4159 7 Classification and ...
Mathematical Classification and Clustering. approximation clustering,
Mathematical Classification and Clustering. Kluwer Academic Publishers,. Dordrecht, 1996, xv + 428 pages, Df1310. This book presents the work of Boris ...
www.springerlink.com/ index/ N56M632K367J410Q.pdf
ingentaconnect B. Mirkin, Mathematical Classification and Clustering
B. Mirkin, Mathematical Classification and Clustering. Author: Levin M. Source: Journal of Global Optimization, Volume 12, Number 1, January 1998 , pp. ...
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B. Mirkin, Mathematical Classification and Clustering
B. Mirkin, Mathematical Classification and Clustering. Full text, Full text available on the Publisher site Publisher Site ...
Mathematical Classification and Clustering
Mathematical Classification and Clustering. B Mirkin. Abstract. No abstract. Table of contents < Previous Article Next > PDF ...
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987 at an examination, and the focus of the investi- gation ...
MATHEMATICAL CLASSIFICATION AND CLUSTERING. Boris Mirkin, Kluwer Academic Publishers, 1996. No. of Pages: xv+428. Price: $140. ISBN 0-7923- ...
doi.wiley.com/ 10.1002/ sim.761
Tmecca : Mathematical Classification and Clustering by Boris ...
Mathematical Classification And Clustering. 정가, 396000원. 판매가, 396000원 + 수수료 (0% DC). 적립금, 7900(2%). ISBN10, 0792341597. ISBN13, 9780792341598 ...
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Phys. Rev. E 67, 056704 (2003): Korenblum and Shalloway ...
B. Mirkin, Mathematical Classification and Clustering (Kluwer Academic, Boston, 1996). B. Everitt, S. Landau, and M. Leese, Cluster Analysis, 4th ed. ...
link.aps.org/ doi/ 10.1103/ PhysRevE.67.056704
Titolo, Mathematical Classification and Clustering. form_resp. Edizione. Luogo di pubblicazione, Dordrecht. Editore, Kluwer Academic Publ. ...
biblio.cs.icar.cnr.it/ biblio/ mostraLibro.asp?ID=856
(WO/2005/113830) SYSTEM AND METHOD FOR GROUPING PRECURSOR AND ...
A description of self-organizing maps is described in Mirkin, B. Mathematical Classification and Clustering, Nonconvex Optimization and Its Applications ...
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