Co-Similarity Approach to Co-clustering Application to Text Mining and Bio-Informatics
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- Englisch ausgewählt
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
02.02.2011
Verlag
LAP LAMBERT Academic PublishingSeitenzahl
208
Maße (L/B/H)
22/15/1.3 cm
Gewicht
328 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-3-8443-0190-8
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 provides and analyzes results of applying this technique on two different domains- Document clustering and Gene Expression Analysis.
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