期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：4
出版社：S.S. Mishra
摘要：In this paper, a new setting of missing data imputation, i.e., imputing missing data in data sets with heterogeneous attributes referred to as imputing Mixture-Kernel-Based Iteratives data sets. This concept first proposes two consistent estimators for the methods in terms of classification accuracy and root square error at the different ratios by using the non-parametric algorithms.
