Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
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
Advancing Spectral Clustering for Categorical and Mixed-Type Data: Insights and Applications
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DOI: 10.3390/math12040508
Abstract: This study focuses on adapting spectral clustering, a numeric data-clustering technique, for categorical and mixed-type data. The method enhances spectral clustering for categorical and mixed-type data with novel kernel functions, showing improved accuracy in real-world… read more here.
Keywords: mixed type; clustering categorical; categorical mixed; spectral clustering ... See more keywords