K-Means Clustering based Sparse Cross-Entropy Minimization algorithm for DOA estimation

Qiang Guo; Hanyu Jiang; Jianhong Xiang; Yu Zhong

doi:10.1049/icp.2024.1734

ScienceGate Book Chapters

JOURNAL ARTICLE

K-Means Clustering based Sparse Cross-Entropy Minimization algorithm for DOA estimation

Qiang Guo Hanyu Jiang Jianhong Xiang Yu Zhong

Year: 2024 Journal: IET conference proceedings. Vol: 2023 (47)Pages: 3889-3893 Publisher: Institution of Engineering and Technology

DOI: 10.1049/icp.2024.1734

Get Full-Text PDF Get Analytical Report

Keywords:

Cluster analysis Minification Computer science Cross entropy Algorithm Entropy (arrow of time) Cross-entropy method Pattern recognition (psychology) Artificial intelligence Optimization problem Physics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.08

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

K-Means Clustering based Sparse Cross-Entropy Minimization algorithm for DOA estimation

Metrics

Topics

Related Documents

K-MEANS CLUSTERING USING ENTROPY MINIMIZATION

Hierarchical K-Means Clustering Algorithm Based on Silhouette and Entropy

Rough Entropy Based k-Means Clustering

Entropy based soft K-means clustering

Robustification of the sparse K-means clustering algorithm