Iterated Probabilistic Weighted
k-Nearest Neighbor Algorithm
J. M. Martínez Otzeta, Basilio Sierra.
We report on the application of a new version of the k-NN algorithm
named Iterated Probabilistic Weighted k-NN algorithm (IPW-k-NN).
This algorithm classifies new cases based on the probability distribution
each case has to belong to each class. These probabilities are computed
according to the k Nearest Neighbors, as a way of measure the
typicalness of a given case with regard to every class.
Supervised Classification, Nearest Neighbor, k-NN, Machine Learning,
title = "Iterated Probabilistic Weighted
k-Nearest Neighbor Algorithm",
author = "J. M. Martínez-Otzeta, Basilio Sierra",
year = "2003",
booktitle = "CAEPIA-TTIA",
volume = "1",
pages = "117--120",