Unsupervised classification : similarity measures, classical and metaheuristic approaches, and applications
Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the f...
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| Language: | English |
| Published: |
New York:
Springer,
c2013.
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| Subjects: |
Badak General Collection
| Call Number: |
Q327 B36 2013 |
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| Accession | Item Category | Format | Status | Notes |
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| 1000159044 | Open Shelf (30 days) | Book | Available |