Targeted ranking-based clustering using AHP K-means
K-Means can group similar objects features into specified number (K) of cluster centers region. Similarity is measured based on their closest distance of multiple features coordinate location. However, such distance measurement can be doubtful in satisfying certain clustering application as it does...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
International Center for Scientific Research and Studies
2015
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| 主題: | |
| オンライン･アクセス: | http://eprints.unisza.edu.my/6922/1/FH02-FIK-15-04680.jpg http://eprints.unisza.edu.my/6922/ |
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