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二度人脉聚类算法设计

张保龙 黄海燕

现代电子技术2016,Vol.39Issue(9):126-127,132,3.
现代电子技术2016,Vol.39Issue(9):126-127,132,3.DOI:10.16652/j.issn.1004-373x.2016.09.029

二度人脉聚类算法设计

Design of 2nd contacts clustering algorithm

张保龙 1黄海燕1

作者信息

  • 1. 郑州科技学院,河南 郑州 450064
  • 折叠

摘要

Abstract

Since the whole complex CLASS full⁃attribute clustering algorithm in clustering algorithms has complicated imple⁃mentation requirement,the overall clustering computation for the more complex CLASS⁃USER in social software is tried to carry out,which is difficult to integrate the complex attribute system into the high dimensional variables for dimension reduction pro⁃cessing. The ranking algorithm of two⁃dimensional fuzzy matrix is particularly used to fast reduce the dimension by means of re⁃peatedly continuous data processing. The dimension reduction processing for the high dimensional variables with 13 dimensions is conducted to form the one⁃dimensional variable. And then the cluster analysis for the one⁃dimensional variable is conducted with common K⁃means clustering algorithm.

关键词

全属性聚类/社交软件/聚类算法/人脉分析

Key words

full-attribute clustering/social software/clustering algorithm/contact analysis

分类

信息技术与安全科学

引用本文复制引用

张保龙,黄海燕..二度人脉聚类算法设计[J].现代电子技术,2016,39(9):126-127,132,3.

现代电子技术

OA北大核心CSTPCD

1004-373X

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