Sample-Weighted Discrete Multiple Kernel K-Means Method with Entropy Regularization

Fengjiao Peng; Shuisheng Zhou

doi:10.1109/icsai65059.2024.10893793

ScienceGate Book Chapters

JOURNAL ARTICLE

Sample-Weighted Discrete Multiple Kernel K-Means Method with Entropy Regularization

Fengjiao Peng Shuisheng Zhou

Year: 2024 Pages: 1-6

DOI: 10.1109/icsai65059.2024.10893793

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Sample entropy Entropy (arrow of time) Kernel (algebra) Applied mathematics Artificial intelligence Pattern recognition (psychology) Computer science Physics Combinatorics Thermodynamics

Metrics

Cited By

0.53

FWCI (Field Weighted Citation Impact)

Refs

0.62

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Sample-Weighted Discrete Multiple Kernel K-Means Method with Entropy Regularization

Metrics

Citation History

Topics

Related Documents

Interpretable Multiple Kernel K-Means Clustering with Entropy Regularization

Simple multiple kernel k-means with kernel weight regularization

Discrete Multiple Kernel k-means

Sample Weighted Multiple Kernel K-means via Min-Max optimization

Balanced Multiple Kernel Clustering with Discrete Partition Entropy Auto Regularization