Fuzzy Association Rule Mining Algorithm to Generate Candidate Cluster: An Approach to Hierarchical Document Clustering
As text documents are largely increasing in the internet, the process of grouping similar documents for versatile applications have put the eye of researchers in this area. However most clustering methods suffer from challenges in dealing with problems of high dimensionality, scalability, accuracy and meaningful cluster labels. Hierarchical clustering is a solution on that. Proper clustering set generation plays important role in hierarchical clustering. This paper shows the process of generation of candidate cluster set of given document set. Testing has been done on some predefined data set.
Keywords: Candidate Cluster; Document Clustering; Document Set; Hierarchical Document Clustering
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ABOUT THE AUTHORS
Ashish Jaiswal
Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Maharashtra, India
Nitin J. Janwe
Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Maharashtra, India
Ashish Jaiswal
Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Maharashtra, India
Nitin J. Janwe
Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Maharashtra, India
