Exact algorithms for size constrained clustering / / Jianyi Lin .
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 a...
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| Superior document: | Mathematical Sciences |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Milan : : Libreria Ledi Srl,, 2013 |
| Year of Publication: | 2013 |
| Language: | English |
| Series: | Mathematical Sciences
|
| Notes: | Bibliographic Level Mode of Issuance: Monograph |
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| 100 | 1 | |a Lin, Jianyi |e author. | |
| 245 | 1 | 0 | |a Exact algorithms for size constrained clustering / |c Jianyi Lin . |
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| 490 | 1 | |a Mathematical Sciences | |
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| 520 | |a 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. | ||
| 530 | |a Also available in print form. | ||
| 546 | |a English | ||
| 650 | 0 | |a Algorithms. | |
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