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: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2017-04-01
|
Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/673 |