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  • Broschiertes Buch

Specific objective to discover some novel information from a set of documents initially retrieved in response to some query. Clustering sentences level text, effective use and update is still an open research issue, especially in domain of text mining. Since most existing system uses pattern belong to a single cluster. But here we can use patterns belongs to all cluster with different degree of membership. Since sentences of those documents we would expect at least one of the clusters to be closely related to the concepts described by the query term. This Book presents a Novel Fuzzy Clustering…mehr

Produktbeschreibung
Specific objective to discover some novel information from a set of documents initially retrieved in response to some query. Clustering sentences level text, effective use and update is still an open research issue, especially in domain of text mining. Since most existing system uses pattern belong to a single cluster. But here we can use patterns belongs to all cluster with different degree of membership. Since sentences of those documents we would expect at least one of the clusters to be closely related to the concepts described by the query term. This Book presents a Novel Fuzzy Clustering Algorithm that operates on relational input data (i.e. data in the form of square matrix of pair wise similarities between data objects).
Autorenporträt
Prof. Uday Dhanaji.Patil. Completó su maestría en Ciencias de la Computación e Ingeniería de la Universidad Savitribai Bai Phule, Pune. Actualmente, trabaja como profesor asistente, en el Departamento de Ingeniería y Ciencias de la Computación, de la Facultad de Ingeniería de Sant Gajanan Maharaj, Mahagaon, Maharashta, India