A modified version of the K-means algorithm with a distance based on cluster symmetry 论文

2001IEEE Transactions on Pattern Analysis and Machine Intelligence引用 391
DOI
Advanced Clustering Algorithms ResearchFace and Expression RecognitionImage Retrieval and Classification Techniques
Face and Expression RecognitionImage Retrieval and Classification TechniquesAdvanced Clustering Algorithms Research
相关技术:Image Retrieval and Classification TechniquesFace and Expression RecognitionAdvanced Clustering Algorithms Research
关系图谱

2

作者

3

相关技术

0

相关事件

0

相关文章

摘要

We propose a modified version of the K-means algorithm to cluster data. The proposed algorithm adopts a novel nonmetric distance measure based on the idea of "point symmetry". This kind of "point symmetry distance" can be applied in data clustering and human face detection. Several data sets are used to illustrate its effectiveness.

作者查看全部 (2)

C

Chien-Hsing Chou

M

Mu‐Chun Su

相关技术查看全部 (3)

Image Retrieval and Classification TechniquesFace and Expression RecognitionAdvanced Clustering Algorithms Research

相关事件

暂无数据

相关文章

暂无数据