EVOLUTIONARY APPROACH FOR EFFECTIVE CLUSTERING AND INFORMATION RETRIEVAL

摘要：

This paper presents a survey of evolutionary approach for Clustering and how Genetic Algorithm is applied to different problem domains in the field of Information Retrieval.The paper is original in two main aspects first it gives an overview of evolutionary approach for clustering and information retrieval and second it suggests a novel evolutionary approach which serves both the areas of Clustering and Information Retrieval by developing a single Genetic Algorithm.Conventional clustering algorithms are sensitive to the choice of cluster center.Such a partition is insufficient to represent many real situations.To improve the performance of clustering algorithm, Genetic Algorithms is applied to clustering algorithms.Genetic Algorithms are robust in searching a multidimensional space to find optimal solution.This paper tries to reflect the research profile of this area by focusing more on how Evolutionary Algorithms can effectively work in forming clusters and improving retrieval performance.

关键词： Evolutionary algorithms Clustering Genetic Algorithm (GA) based clustering Information Retrieval (IR)

作者: ANURADHA D.THAKARE DR.C.A.DHOTE

作者单位: Department of Computer Engineering,Pimpri Chinchwad College of enginerring,Pune-44 University of Pun Department of Computer Science & Engineering,Prof. Ram Meghe Institute of Technology & Research,Amra

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 123-127

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）