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Exact algorithms for size constrained clustering / Jianyi Lin .

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Format:
Book
Author/Creator:
Lin, Jianyi, author.
Series:
Mathematical Sciences
Language:
English
Subjects (All):
Algorithms.
Mathematics.
Physical Description:
1 online resource (1 p.)
Place of Publication:
Ledizioni 2013
Milan : Libreria Ledi Srl, 2013
Language Note:
English
System Details:
text file
Summary:
Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis among others. A cluster is a set of data points that in some sense are similar to each other, and clustering is a process of partitioning a data set into disjoint clusters. In distance clustering, the similarity among data points is obtained by means of a distance function.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references.
CC BY-SA
OCLC:
1139864678

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