Metaheuristic Clustering
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Metaheuristic Clustering
Cluster Analysis Means The Organization Of An Unlabeled Collection Of Objects Or Patterns Into Separate Groups Based On Their Similarity. The Task Of Computerized Data Clustering Has Been Approached From Diverse Domains Of Knowledge Like Graph Theory, Multivariate Analysis, Neural Networks, Fuzzy Set Theory, And So On. Clustering Is Often Described As An Unsupervised Learning Method But Most Of The Traditional Algorithms Require A Prior Specification Of The Number Of Clusters In The Data For Guiding The Partitioning Process, Thus Making It Not Completely Unsupervised.
- 品牌: Springer Nature B.V
- 类别: 计算机与互联网
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语言: English
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作者: Swagatam Das
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出版日期: 2009-03-24
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页数: 272
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出版社／标签: Springer Nature B.V
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格式: Hardcover
- Fruugo ID: 557230873-1125500294
- ISBN: 9783540921721
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