Optimal Grouping and Missing Data Handling for Split-and-Combine Multidimensional Scaling
碩士 === 國立交通大學 === 統計學研究所 === 96 === Multidimensional Scaling (MDS) is one of many important methods in data mining. It has two main purposes: (1) Express data in coordinate points in spatial configuration from given pair-wise distances between data. (2) Reduce data dimensions and find hidden feature...
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| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/64248447007391009465 |