Baragilly et al., 2024 - Google Patents
Functional Data Clustering Based on Weighted Functional Spatial Ranks With Clinical ApplicationsBaragilly et al., 2024
View PDF- Document ID
- 11032199606346860780
- Author
- Baragilly M
- Gabr H
- Willis B
- Publication year
- Publication venue
- Journal of Probability and Statistics
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Snippet
Functional data analysis is receiving increasing attention in several scientific disciplines. However, identifying and classifying clusters of data that are essentially curves that map into an infinite dimensional space poses a significant challenge for existing methods. Here, we …
- 238000000034 method 0 abstract description 81
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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- G—PHYSICS
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