Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters
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DOI: 10.1109/tnnls.2017.2728138
Abstract: In clustering analysis, data attributes may have different contributions to the detection of various clusters. To solve this problem, the subspace clustering technique has been developed, which aims at grouping the data objects into clusters… read more here.
Keywords: number clusters; subspace clustering; numerical categorical; subspace ... See more keywords