KNNclassifier: k-nearest neighbor clssifier

In Mthrun/Classifiers: Common Supervised Machine Learning Algorithms

k-nearest neighbor clssifier

Description

k-nearest neighbor clssifier

Usage

KNNclassifier(k, TrainData, TrainCls, TestData,  Verbose)

Arguments

k	the number of neighbor to use
TrainData	matrix [n,d] containing classified data
TrainCls	vector [1:n] containing the classes of TrainData
TestData	matrix [m,d] containing unclassified data Verbose default ==1, progress report
Verbose	Optional: progress report. Default: 1

Value

KNNTestCls

Vector [1:m], a KNN classification of TestData

Author(s)

04/15 RG, imported from matlab

Mthrun/Classifiers documentation built on June 28, 2023, 9:28 a.m.