Influence Analysis and Alternative Approaches for Principal Component Analysis in Symbolic Interval Data
碩士 === 國立中正大學 === 數學系統計科學研究所 === 103 === Principal component analysis (PCA) is a well known statistical procedure for dimension reduction in classical data. As the age of big data advance, classical data may be aggregated as symbolic data, which was introduced by Billard and Diday (1987). In literat...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/z6cw7t |