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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Dades bibliogràfiques

Autor principal:	Aporbo, Jenelyn Calderon
Format:	Thesis
Idioma:	English
Publicat:	2008 2008
Matèries:	Clustering. Imputation. K-means. Algorithms. K-nearest neighbor algorithm. LOESS (Locally Weighted Scatterplot Smoothing) KNN (K-nearest neighbor)