@article{(Open Science Index):https://publications.waset.org/pdf/15065,
	  title     = {Classification Influence Index and its Application for k-Nearest Neighbor Classifier},
	  author    = {Sejong Oh},
	  country	= {},
	  institution	= {},
	  abstract     = {Classification is an important topic in machine learning
and bioinformatics. Many datasets have been introduced for
classification tasks. A dataset contains multiple features, and the quality of features influences the classification accuracy of the dataset.
The power of classification for each feature differs. In this study, we
suggest the Classification Influence Index (CII) as an indicator of classification power for each feature. CII enables evaluation of the
features in a dataset and improved classification accuracy by transformation of the dataset. By conducting experiments using CII
and the k-nearest neighbor classifier to analyze real datasets, we confirmed that the proposed index provided meaningful improvement
of the classification accuracy.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {12},
	  year      = {2011},
	  pages     = {1724 - 1728},
	  ee        = {https://publications.waset.org/pdf/15065},
	  url   	= {https://publications.waset.org/vol/60},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 60, 2011},
	}