Extracting Information from Interval Data Using Symbolic Principal Component Analysis
We introduce generic definitions of symbolic variance and covariance for random interval-valued variables, that lead to a unified and insightful interpretation of four known symbolic principal component estimation methods: CPCA, VPCA, CIPCA, and SymCovPCA. Moreover, we propose the use of truncated v...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Austrian Statistical Society
2017-04-01
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| Series: | Austrian Journal of Statistics |
| Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/673 |