Clustering Categorical Data Using Node Importance Method

Autor/innen

  • Mr.N. Krishnaiah J N T U,Kakinada
  • Dr.G. Narsimha J N T U,Kakinada

Schlagwörter:

MARDL, NNIR, node, nodeset, unlable Cluster

Abstract

Data clustering is an important technique in data analysis. It can be defined as a given set of data objects, the problem of clustering is to partition data objects into groups in such a way that objects in same group are similar and objects in different groups are dissimilar according to the predefined similarity measurement [Han Jiawei and Kamber Micheline. Data mining: concepts and techniques]. In this article, we introduce our proposed MARDL mechanism.       Keywords:   MARDL, NNIR, node, nodeset, unlable Cluster

Autor/innen-Biografien

  • Mr.N. Krishnaiah, J N T U,Kakinada
    Computer Science and Engineering,Associate Professor
  • Dr.G. Narsimha, J N T U,Kakinada
    Computer Science and Engineering,Associate Professor

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Veröffentlicht

2012-02-02

Ausgabe

Bd. 1 Nr. 2 - 3 (2011)

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Review Articles

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