A Hybrid Dimensionality Reduction Procedure Integrating Clustering with KNN-Based Feature Selection...
A Hybrid Dimensionality Reduction Procedure Integrating Clustering with KNN-Based Feature Selection for Unsupervised Data
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English
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This paper proposes a novel hybrid approach that combines unsupervised feature extraction through clustering and unsupervised feature selection for data reduction, specifically targeting high-dimensional data. The proposed method employs K-means clustering for feature extraction, where cluster membership serves as a new feature representation, capt...
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Full title
A Hybrid Dimensionality Reduction Procedure Integrating Clustering with KNN-Based Feature Selection for Unsupervised Data
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TN_cdi_crossref_primary_10_3390_a18040188
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_a18040188
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ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a18040188
