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Multi-objective soft subspace clustering in the composite kernel space (Q6064464)

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scientific article; zbMATH DE number 7763262

Language	Label	Description	Also known as
English	Multi-objective soft subspace clustering in the composite kernel space	scientific article; zbMATH DE number 7763262

Statements

scholarly article

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Multi-objective soft subspace clustering in the composite kernel space (English)

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Information Sciences

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publication date

9 November 2023

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zbMATH Keywords

soft subspace clustering

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multi-objective optimization

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composite kernels

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evolutionary algorithm

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1016/j.ins.2021.02.008

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Learning a metric when clustering data points in the presence of constraints

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Enhanced soft subspace clustering integrating within-cluster and between-cluster information

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A survey on soft subspace clustering

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A convergence theorem for the fuzzy subspace clustering (FSC) algorithm

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Bi-objective optimization of biclustering with binary data

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Quantization and clustering on Riemannian manifolds with an application to air traffic analysis

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Reinvestigation of evolutionary many-objective optimization: focus on the Pareto knee front

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Simultaneous learning coefficient matrix and affinity graph for multiple kernel clustering

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SMKFC-ER: semi-supervised multiple kernel fuzzy clustering based on entropy and relative entropy

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A generalization of the Wilcoxon signed-rank test and its applications

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Objective function-based rough membership C-means clustering

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Near-optimal large-scale k-medoids clustering

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Distance metric learning for soft subspace clustering in composite kernel space

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Block diagonal representation learning for robust subspace clustering

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Multi-clustering via evolutionary multi-objective optimization

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Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data

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Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel

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Joint correntropy metric weighting and block diagonal regularizer for robust multiple kernel subspace clustering

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High-dimensional count data clustering based on an exponential approximation to the multinomial beta-Liouville distribution

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Kernel truncated regression representation for robust subspace clustering

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.INS.2021.02.008

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Sitelinks

Mathematics(1 entry)

mardi Publication:6064464

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