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An Analysis of Decision Tree Based Two-Step Clustering Using Data Mining Technique


Ravinder Kaur , CTITR, Maksudan, Jalandhar, India ; Anshu Sharma, CTITR, Maksudan, Jalandhar, India ; Sarabjit Kaur, CTITR, Maksudan, Jalandhar, India


Data Mining, Tuberculosis, Decision Tree, Two-Step Clustering, Back Propagation Neural Networks


The classification of data patterns and distinguishing them into predefined set of classes is known as pattern recognition. A no of various methods for recognizing patterns studied under this paper. In this paper a new technique is proposed by using back propagation neural networks. This technique is enhancement of decision tree based two-step clustering to in order to achieve more accuracy and less elapsed time. Both the techniques such as existing two-step clustering and enhanced two step clustering are implemented on several data sets and results are compared with each other in terms of accuracy and elapsed time.

Other Details

Paper ID: IJSRDV4I80061
Published in: Volume : 4, Issue : 8
Publication Date: 01/11/2016
Page(s): 54-58

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