A modified K-modes algorithm for clustering categorical data sets with missing values using bhattacharyya distance function
Clustering can be defined as the process of organizing objects in a database into cluster/groups such that objects within the same cluster hav ea high degree of similarity, while objects belonging to different clusters have a high degree of dissimalirity. This study clusters data sets and utilized...
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2006
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