Buddy System Based Alpha Numeric Weight Based Clustering Algorithm with User Threshold
Keywords:
Clustering, hierarchical agglomerative clustering, Alpha numeric Weight based of Object Positional Value for a Term / Field / Attribute, Clustering Ranges, Buddy SystemAbstract
Data is present in the data sources like Files and Data bases, Retrieval of information from that data sources is one of the important issue nowadays. So for retrieval information from the data sources clustering is used. In the present market different types of clustering algorithms were available. But opting of the clustering is based on user requirements. This paper focuses on the study of hierarchical clustering approach on different conditions or measures or with customer choices like clustering process number of clusters generated at each level, number of levels, attributes range for performing the clustering on the given data set. In brief overview we discuss the hierarchical approach for clustering algorithm with the user opting choices.
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