Distance metric learning for soft subspace clustering in composite kernel space

DOI10.1016/J.PATCOG.2015.10.018zbMath1394.68317OpenAlexW2097502977MaRDI QIDQ1669787

Yizhang Jiang, Jun Wang, Zhaohong Deng, Kup-Sze Choi, Xiaoqing Luo, Fu-lai Chung, Shi-Tong Wang

Publication date: 4 September 2018

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.10.018

zbMATH Keywords

fuzzy clusteringdistance metric learningsoft subspace clusteringcomposite kernel space

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Multivariate analysis and fuzziness (62H86)

Related Items (3)

Transfer learning-assisted multi-objective evolutionary clustering framework with decomposition for high-dimensional data ⋮ Multi-objective soft subspace clustering in the composite kernel space ⋮ Lossy compression approach to subspace clustering

Uses Software

• COSA

Cites Work

• Unnamed Item
• A feature group weighting method for subspace clustering of high-dimensional data
• Fuzzy partition based soft subspace clustering and its applications in high dimensional data
• An optimization algorithm for clustering using weighted dissimilarity measures
• A convergence theorem for the fuzzy subspace clustering (FSC) algorithm
• Enhanced soft subspace clustering integrating within-cluster and between-cluster information
• Clustering Objects on Subsets of Attributes (with Discussion)
• Data Clustering: Theory, Algorithms, and Applications

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