engleski

Concept Decomposition by Fuzzy k-means Algorithm

The method of Latent semantic indexing (LSI) is information retrieval technique which uses a low-rank singular value decomposition (SVD) of the term-document matrix. Although LSI method has empirical success, it suffers from lack of interpretation for the low-rank approximation and consequently a lack of controls for accomplishing specific tasks in information retrieval. A method introduced by Dhillon and Modha is improvement in that direction. It uses centroids of clusters or so called concept decomposition for lowering the rank of term-document matrix. Our work is focused on improvements of that method using fuzzy k-means algorithm . Also, we compare precision of information retrieval for the two methods mentioned above.

information retrieval ; Latent Semantic Indexing ; concept decomposition ; singular value decomposition ; fuzzy k-means algorithm

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