Clustering Categorical data: for exploratory data analysis

Devarakonda, Prashanth Kumar; Nangunuri, Raghu

ISBN 10: 3659258601 / ISBN 13: 9783659258602

Edité par LAP LAMBERT Academic Publishing, 2012

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Détails bibliographiques

• Titre: Clustering Categorical data: for exploratory data analysis
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 3659258601
• ISBN à 13 chiffres: 9783659258602
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

Data clustering is an important technique for exploratory data analysis and has been the focus of substantial research in several domains for decades among which Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points that are not sampled will not have their labels after the normal process. Although there is a straightforward approach in the numerical domain, the problem of how to allocate those unlabeled data points into proper clusters remains as a challenging issue in the categorical domain.

À propos de l?auteur

Prashanth Kumar Devarakonda completed both Masters and Bachelors program in Computer Science and Engineering in 2010 and 2005 respectively. Keen interests are in the field of Data Mining and has Eight years of work experience in that area.