Robust Principal Component Analysis Based on Modified Minimum Covariance Determinant in the Presence of Outliers
Principal component analysis (PCA) is not resistant to outliers existing in multivariate data sets. The results which are obtained by using classical PCA are far from real values in the presence of outliers. Therefore, using robust versions of PCA is favorable. The easiest way to obtain robust princ...
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| Format: | Article |
| Language: | English |
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Istanbul University
2016-09-01
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| Series: | Alphanumeric Journal |
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| Online Access: |
http://alphanumericjournal.com/media/Issue/volume-4-issue-2-2016/aykiri-gozlemlerin-varliginda-uyarlanmis-en-kucuk-kovaryans-_5YcrjpT.pdf
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