Co-Similarity Approach to Co-clustering
Fawad Hussain
Broschiertes Buch

Co-Similarity Approach to Co-clustering

Application to Text Mining and Bio-Informatics

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Clustering is an important tool for many applications such as document clustering, gene expression analysis, etc. In many such cases, the data can be represented as a set of instances expressed by their attributes, in the form of a matrix. Clustering instances, such as documents, depends on their attributes (words) and vice versa, thus forming a dual relationship between instances and their attributes. Co-Similarity Approach to Co-Clustering emphasizes on a technique that exploits the dual nature between instances and their attributes to find similarities between objects in each set. It provid...