clusters | R Documentation |

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.

```
clusters(obj, n_clusters)
```

`obj` |
A |

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

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

```
# 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)
```

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