Share This Article:

D-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering

Full-Text HTML XML Download Download as PDF (Size:2528KB) PP. 639-654
DOI: 10.4236/jsea.2014.78059    3,570 Downloads   5,255 Views Citations

ABSTRACT

In this study, we propose a data preprocessing algorithm called D-IMPACT inspired by the IMPACT clustering algorithm. D-IMPACT iteratively moves data points based on attraction and density to detect and remove noise and outliers, and separate clusters. Our experimental results on two-dimensional datasets and practical datasets show that this algorithm can produce new datasets such that the performance of the clustering algorithm is improved.

Cite this paper

Tran, V. , Hirose, O. , Saethang, T. , Nguyen, L. , Dang, X. , Le, T. , Ngo, D. , Sergey, G. , Kubo, M. , Yamada, Y. and Satou, K. (2014) D-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering. Journal of Software Engineering and Applications, 7, 639-654. doi: 10.4236/jsea.2014.78059.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.