A K-nearest neighbor imputation method based on locally weighted scatterplot smoothing (LOESS) for ordinal data.

This study introduced a modification of the classical k-nearest neighbor algorithm called Weighted KNN based on Locally Weighted Seatterplot Smoothing (LOESS). It uses weighting scheme to make sure that the degree of influence of each neighbor is accounted in estimating missing values. The newly dev...

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書目詳細資料

主要作者:	Aporbo, Jenelyn Calderon
格式:	Thesis
語言:	English
出版:	2008 2008
主題:	Clustering. Imputation. K-means. Algorithms. K-nearest neighbor algorithm. LOESS (Locally Weighted Scatterplot Smoothing) KNN (K-nearest neighbor)