# minkowski: Minkowski distance In SBCK: Statistical Bias Correction Kit

## Description

Compute Minkowski distance between two dataset or SparseHist X and Y. If p = 2, it is the Euclidean distance, for p = 1, it is the manhattan distance, if p = Inf, chebyshev distance is called.

## Usage

 `1` ```minkowski(X, Y, p = 2) ```

## Arguments

 `X` [matrix or SparseHist] If matrix, dim = ( nrow = n_samples, ncol = n_features) `Y` [matrix or SparseHist] If matrix, dim = ( nrow = n_samples, ncol = n_features) `p` [float] power of distance

## Value

[float] value of distance

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```X = base::cbind( stats::rnorm(2000) , stats::rnorm(2000) ) Y = base::cbind( stats::rnorm(2000,mean=2) , stats::rnorm(2000) ) bw = base::c(0.1,0.1) muX = SBCK::SparseHist( X , bw ) muY = SBCK::SparseHist( Y , bw ) ## The four are equals d = SBCK::minkowski( X , Y , p = 3 ) d = SBCK::minkowski(muX , Y , p = 3 ) d = SBCK::minkowski( X , muY , p = 3 ) d = SBCK::minkowski(muX , muY , p = 3 ) ```

SBCK documentation built on April 10, 2021, 9:06 a.m.