首页    期刊浏览 2025年04月14日 星期一
登录注册

文章基本信息

  • 标题:Parallel and Hierarchical Mode Association Clustering with an R Package Modalclust
  • 本地全文:下载
  • 作者:Yansong Cheng 1 , Surajit Ray
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2014
  • 卷号:04
  • 期号:10
  • 页码:826-836
  • DOI:10.4236/ojs.2014.410078
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:Modalclust is an R package which performs Hierarchical Mode Association Clustering (HMAC) along with its parallel implementation over several processors. Modal clustering techniques are especially designed to efficiently extract clusters in high dimensions with arbitrary density shapes. Further, clustering is performed over several resolutions and the results are summarized as a hierarchical tree, thus providing a model based multi resolution cluster analysis. Finally we implement a novel parallel implementation of HMAC which performs the clustering job over several processors thereby dramatically increasing the speed of clustering procedure especially for large data sets. This package also provides a number of functions for visualizing clusters in high dimensions, which can also be used with other clustering softwares.
  • 关键词:Modality; Kernel Density Estimate; Mode; Clustering
国家哲学社会科学文献中心版权所有