文章基本信息

标题：Extensive Analysis on Generation and Consensus Mechanisms of Clustering Ensemble
其他标题：Extensive Analysis on Generation and Consensus Mechanisms of Clustering Ensemble
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作者：Yalamarthi Leela Sandhya Rani ; V. Sucharita ; K. V. V. Satyanarayana 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2018
卷号：8
期号：4
页码：2351-2357
DOI：10.11591/ijece.v8i4.pp2351-2357
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Data analysis plays a prominent role in interpreting various phenomena. Data mining is the process to hypothesize useful knowledge from the extensive data. Based upon the classical statistical prototypes the data can be exploited beyond the storage and management of the data. Cluster analysis a primary investigation with little or no prior knowledge, consists of research and development across a wide variety of communities. Cluster ensembles are melange of individual solutions obtained from different clusterings to produce final quality clustering which is required in wider applications. The method arises in the perspective of increasing robustness, scalability and accuracy. This paper gives a brief overview of the generation methods and consensus functions included in cluster ensemble. The survey is to analyze the various techniques and cluster ensemble methods.
其他摘要：Data analysis plays a prominent role in interpreting various phenomena. Data mining is the process to hypothesize useful knowledge from the extensive data. Based upon the classical statistical prototypes the data can be exploited beyond the storage and management of the data. Cluster analysis a primary investigation with little or no prior knowledge, consists of research and development across a wide variety of communities. Cluster ensembles are melange of individual solutions obtained from different clusterings to produce final quality clustering which is required in wider applications. The method arises in the perspective of increasing robustness, scalability and accuracy. This paper gives a brief overview of the generation methods and consensus functions included in cluster ensemble. The survey is to analyze the various techniques and cluster ensemble methods.
关键词：Computer and Informatics; Computer Science and Engineering; Computer Science;;Clustering Clustering Ensemble Unsupervised Classification Consensus Method Generation Method