Data Analysis in Bi-partial Perspective: Clustering and Beyond

by Jan W. Owsiński
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£102.38
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Jan W. Owsiński Data Analysis in Bi-partial Perspective: Clustering and Beyond
Jan W. Owsiński - Data Analysis in Bi-partial Perspective: Clustering and Beyond

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Description

This book presents the bi-partial approach to data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms. It is based on adequate representation of the essential clustering problem: to group together the similar, and to separate the dissimilar. This leads to a general objective function and subsequently to a broad class of concrete implementations. Using this basis, a suboptimising procedure can be developed, together with a variety of implementations.

This procedure has a striking affinity with the classical hierarchical merger algorithms, while also incorporating the stopping rule, based on the objective function. The approach resolves the cluster number issue, as the solutions obtained include both the content and the number of clusters. Further, it is demonstrated how the bi-partial principle can be effectively applied to a wide variety of problems in data analysis.

The book offers a valuable resource for all data scientists who wish to broaden their perspective on basic approaches and essential problems, and to thus find answers to questions that are often overlooked or have yet to be solved convincingly. It is also intended for graduate students in the computer and data sciences, and will complement their knowledge and skills with fresh insights on problems that are otherwise treated in the standard “academic” manner.

Contributors

Author:
Jan W. Owsiński

Further information

Illustrations Note:
Bibliographie
remarks:

Offers a valuable resource for all data scientists who wish to broaden their perspective on the fundamental approaches available



Presents a general formulation, properties, examples, and techniques associated with a general objective function



Provides results from studies on data analysis, especially cluster analysis and preference aggregation
Media Type:
Buch gebunden
Publisher:
Springer International Publishing
Language:
Englisch
Number of Pages:
153

Master Data

Product Type:
Hardback book
Release date:
02 April 2019
Package Dimensions:
0.241 x 0.164 x 0.017 m; 0.413 kg
GTIN:
09783030133887
DUIN:
V6M3L3577ES
Manufacturer Part Number:
54953148
£102.38
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