Fuzzy partition based soft subspace clustering and its applications in high dimensional data

DOI10.1016/j.ins.2013.05.029zbMath1320.68150OpenAlexW2058089823MaRDI QIDQ497283

Zhaohong Deng, Jun Wang, Shi-Tong Wang, Fu-lai Chung

Publication date: 23 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.05.029

zbMATH Keywords

convergencefuzzy clusteringhigh-dimensional datasoft subspace clustering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

A novel soft subspace clustering algorithm with noise detection for high dimensional datasets ⋮ Distance metric learning for soft subspace clustering in composite kernel space ⋮ A hybrid fuzzy K-harmonic means clustering algorithm

Cites Work

• Fuzzy clustering of time series in the frequency domain
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• An optimization algorithm for clustering using weighted dissimilarity measures
• A convergence theorem for the fuzzy subspace clustering (FSC) algorithm
• Robust maximum entropy clustering algorithm with its labeling for outliers
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