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An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:  S. Nagaraju;  Manish Kashyap;  Mahua Bhattachraya
浏览  |  Adobe PDF(30557Kb)  |  收藏  |  浏览/下载：127/33  |  提交时间：2021/02/23
Density based clustering  neighborhood difference  density-based spatial clustering of applications with noise (DBSCAN)  space density indexing (SDI)  core object.  
A Novel Minkowski-distance-based Consensus Clustering Algorithm 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 33-44
作者:  De-Gang Xu;  Pan-Lei Zhao;  Chun-Hua Yang;  Wei-Hua Gui;  Jian-Jun He
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Minkowski distance  consensus clustering  similarity matrix  process data  froth flotation.