UID:
edoccha_9958082596702883
Series Statement:
Mathematical Sciences
Content:
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.
Note:
Bibliographic Level Mode of Issuance: Monograph
,
Also available in print form.
,
English
Additional Edition:
ISBN 88-6705-065-6
Language:
English
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