clusters {CCMMR}

Obtain clustering from a clusterpath

Description

Get a particular clustering of the data. If there is a clustering for n_clusters, it is returned, otherwise the function will stop with a message. To know whether a query is going to be successful beforehand, check the num_clusters attribute of the cvxclust object, this lists all possible options for the number of clusters.

Usage

clusters(obj, n_clusters)

Arguments

obj

A cvxclust object.

n_clusters

An integer that specifies the number of clusters that should be returned.

Value

A vector with the cluster labels for each object in the data.

Examples

# Load data
data(two_half_moons)
data = as.matrix(two_half_moons)
X = data[, -3]
y = data[, 3]

# Get sparse distances in dictionary of keys format with k = 5 and phi = 8
W = sparse_weights(X, 5, 8.0)

# Set a sequence for lambda
lambdas = seq(0, 2400, 1)

# Compute results CMM
res = convex_clusterpath(X, W, lambdas)

# Get labels for three clusters
labels = clusters(res, 3)