labels_function: Label Caculation Function
In PACBO: Clustering Online Datasets

Description Usage Arguments Details Value Examples

This function gives cluster label to each of the observations.

1	labels_function(centers, observations)

`centers`	a matrix containing m centers of length d, where each row corresponds to coordinates of a center.
`observations`	a matrix containing T observations of length d, where each row of the matrix is an observation of length d.

Given a set C of m centers of length d (i.e., C = {c_{1}, c_{2}, …, c_{m}}), and a set X of T observations of length d (i.e., X = {x_{1}, x_{2}, …, x_{T}}), this function associates each observation x_{t} to the nearest centers to form different cells, and gives a corresponding cluster label to it.

cluster label of each of the observations.

## generating 4 centers of length 3.
centers <- matrix(1:12, nrow = 4, ncol = 3)
## generating 10 observations of length 3.
observations <- matrix(rmnorm(10, mean = c(2,6,10), varcov = diag(1,3)), nrow = 10)
labels_function(centers, observations)