# Data Mining Algorithms In R/Packages/CCMtools/learn.and.project.clusters

## Description

editThis function (1) learns how to attribute days to clusters based on the sequence of predictors and associated sequence of clusters.

## Usage

editlearn.and.project.clusters(DataCalibration, DataToBeProjected, cl.calibration, allocmet, Datas.Calibration)

## Arguments

edit*DataCalibration*Values of the predictor variable for the calibration set (can be a matrix).

*DataToBeProjected*Values of the predictor variable for the projection set.

*cl.calibration*Numerical vector corresponding to the sequence of clusters (i.e., calibration set).

*allocmet*Name of the attribution method.(The 12 possibilities are: "Euclid.dist.A", "Euclid. dist.w1", "Euclid.dist.w2", "CART.A", "CART.w", "CART.A.and.w", "knnA", "knnA10", "Gaussian.A", "Gaussian.w", "MM", "MMw")

*DataS.Calibration*Values of other predictor variables for the calibration set. This is sometimes needed, according to the attribution method (allocmet) to be used (needed for "Euclid.dist.w1", "Euclid.dist.w2", "CART.w", "CART.A.and.w", "Gaussian.w", "MMw").

## Value

editReturns a list with two objects:

*cl*The sequence of clusters defined from the predictors for the projection set.*tot*Number of elements per cluster for projection set.

## Author

editM. Vrac (mathieu.vrac@lsce.ipsl.fr))