Hierarchical Cluster Generation for Software Quality: A Comparative Approach
نویسندگان
چکیده
Abstract— Clustering is a powerful technique of data mining for extracting useful information from a set of data and classifies the data into several clusters based on similarity of the pattern. This paper presents the quality estimation for students’ projects data based on hierarchical clustering and fuzzy clustering using Min-Max method. From the experimental results it is seen the fuzzy clustering and hierarchical clustering technique prove to be useful tools in obtaining clusters which can be meaning fully interpreted. KeywordHierarchical cluster, cluster generation, fuzzy clustering, comparative approach, software quality
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