fitModelKNN_CV: Generate KNN classifier with LOOCV
In Ayan1/Cell-Trajectory-Analysis: Functions for biological trajectory analysis and video processing

Fits trajectory data into a K-nearest neighbors classifier using leave one out cross validation.

1	fitModelKNN_CV(trajDataFrame, labelVector, kVal)

`trajDataFrame`	A data frame with measures for each trajectory. This can be produced by function trajMeasures
`labelVector`	A vector of labels for each trajectory. Its length must be equal to the number of rows in trajDataFrame
`kVal`	The number of neighbors used for classification

A vector of classified labels for each trajectory

Ayan Bandyopadhyay, Bellarmine College Prep 11/26/2015

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data <- as.data.frame(matrix(1:4,nrow = 2,ncol = 2))
labels <- c("live","dead")
classifierKNN_CV<- fitModelKNN_CV(data,labels,3)

Ayan1/Cell-Trajectory-Analysis documentation built on May 5, 2019, 9:23 a.m.

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