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Comparison Clustering using Cosine and Fuzzy set based Similarity Measures of Text Documents

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arxiv 1505.00168 v1 pith:S6XGBEWZ submitted 2015-05-01 cs.IR

Comparison Clustering using Cosine and Fuzzy set based Similarity Measures of Text Documents

Manan Mohan Goyal , Neha Agrawal , Manoj Kumar Sarma , Nayan Jyoti Kalita This is my paper
classification cs.IR
keywords clusteringsimilaritymeasurescomparisoncosinedifferentdocumentsfuzzy
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Keeping in consideration the high demand for clustering, this paper focuses on understanding and implementing K-means clustering using two different similarity measures. We have tried to cluster the documents using two different measures rather than clustering it with Euclidean distance. Also a comparison is drawn based on accuracy of clustering between fuzzy and cosine similarity measure. The start time and end time parameters for formation of clusters are used in deciding optimum similarity measure.

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