SOM clustering for text retrieval and classification with examples on Indian scripts
نویسنده
چکیده
In this paper, we discuss the use of Self Organizing Maps (SOM) for character and word clustering. The SOM is a particular kind of artificial neural network that computes an unsupervised clustering of the input data arranging the cluster centers in a lattice. After an overview of the previous applications of unsupervised learning and SOM in the field of Document Image Analysis we describe our recent work in the field. The SOM clustering can be used both for retrieval and classification applications. We describe also some preliminary investigations on the clustering of an Indian script.
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