Theory of fractional covariance matrix and its applications in PCA and 2D-PCA
• We extend fractional covariance matrix (FCM) to fractional order forms by the given new definition. • We propose two new techniques of dimensionality reduction by using FCM to PCA and 2D-PCA. • Two new techniques are superior to the standard PCA and 2D-PCA if choosing different order between 0 and...
Ausführliche Beschreibung
Autor*in: |
Gao, Chaobang [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Schlagwörter: |
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Umfang: |
7 |
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Übergeordnetes Werk: |
Enthalten in: Do denture processing techniques affect the mechanical properties of denture teeth? - Clements, Jody L. ELSEVIER, 2017, an international journal, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:40 ; year:2013 ; number:13 ; day:1 ; month:10 ; pages:5395-5401 ; extent:7 |
Links: |
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DOI / URN: |
10.1016/j.eswa.2013.03.048 |
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ELV022072268 |
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• We extend fractional covariance matrix (FCM) to fractional order forms by the given new definition. • We propose two new techniques of dimensionality reduction by using FCM to PCA and 2D-PCA. • Two new techniques are superior to the standard PCA and 2D-PCA if choosing different order between 0 and 1, which expands the transition recognition ranges of PCA and 2D-PCA. |
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• We extend fractional covariance matrix (FCM) to fractional order forms by the given new definition. • We propose two new techniques of dimensionality reduction by using FCM to PCA and 2D-PCA. • Two new techniques are superior to the standard PCA and 2D-PCA if choosing different order between 0 and 1, which expands the transition recognition ranges of PCA and 2D-PCA. |
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• We extend fractional covariance matrix (FCM) to fractional order forms by the given new definition. • We propose two new techniques of dimensionality reduction by using FCM to PCA and 2D-PCA. • Two new techniques are superior to the standard PCA and 2D-PCA if choosing different order between 0 and 1, which expands the transition recognition ranges of PCA and 2D-PCA. |
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