measure_dist: Measures distance from data points to cluster centers
In UBC-MDS/kmeaningfulR: Performs Kmeans Clustering

Measures distance from data points to cluster centers

1	measure_dist(X, centers)

`X`	array Data points of dimension (n,d)
`centers`	array Coordinates of cluster centers, dimension (k,d)

array Distance from each point to each center, dimension (n,k)

1
2
3

X = rbind(c(0,0), c(1,1))
centers = rbind(c(0.1, 0.1), c(1.1, 1.1))
measure_dist(X, centers)

UBC-MDS/kmeaningfulR documentation built on March 29, 2021, 7:55 a.m.

UBC-MDS/kmeaningfulR index

README.md

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description