全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Visual Sampling Based Clustering Algorithm VSC

Keywords: Clustering , visual sampling , weber law , clustering validity index , attractors , fixed points

Full-Text   Cite this paper   Add to My Lib

Abstract:

This study attempts to achieve two goals: (1) The novel visual sampling based clustering algorithm VSC is proposed, based on the visual sampling principle. The clustering algorithm VSC incorporates the visual sampling principle together with the famous Weber law such that it has two distinctive advantages: (a) it is insensitive to initial conditions and very effective for convex datasets; (b) the reasonable cluster number can be effectively determined by the new Weber-law-based clustering validity index. Our experimental results demonstrate its success. (2) The link relationship between our algorithm VSC and algorithm SCA. Both theoretical analysis and experimental results show that in many cases, our algorithm VSC here has almost the same clustering results as algorithm SCA. This fact reveals that our algorithm can be utilized to overcome the drawback of SCA, i.e., the parameter γ therein is very difficult to be well determined.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133