View source: R/CC_without_robScore_functions.R

multiview_kmeans_gen | R Documentation |

Multiview K-means generation

```
multiview_kmeans_gen(X, rep = 10, range.k = c(2, 5), method = "random")
```

`X` |
List of input data matrices of Sample x feature. The length of |

`rep` |
number of repeats |

`range.k` |
vector of minimum and maximum values for k |

`method` |
method for the choice of k at each repeat |

At each repeat, k is selected randomly or based on the best silhouette width from a discrete uniform distribution between range.k[1] and range.k[2]. Then k-means clustering is applied and result is returned.

matrix of clusterings Nsample x (Nrepeat x Nviews)

```
data = multiview_clusters (n = c(40,40,40), hidden.dim = 2, observed.dim = c(2,2,2),
sd.max = .1, sd.noise = 0, hidden.r.range = c(.5,1))
X_observation = data[["observation"]]
Clusters = multiview_kmeans_gen(X_observation)
```

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