kmeans.init {integrativeME} | R Documentation |
Parameters in integrativeME are first initialized via K-means clustering algorithm.
kmeans.init(data.cont)
data.cont |
gene expression data, where a small number of genes has been selected beforehand. See integrativeME . |
The number of clusters in K-means is set by default to 2. K-means is used to initialize the parameters before applying the EM algorithm in integrativeME.
prop.kmeans |
proportions. |
means.kmeans |
estimated means. |
var.kmeans |
estimated variance-covariance matrix. |
continue |
boolean variable, set to FALSE if the number of observations is not sufficient to determine 2 clusters. |
Kim-Anh Le Cao
Hartigan, J. A. and Wong, M. A. (1979). A K-means clustering algorithm. Applied Statistics, 28, 100-108.
integrativeME
, MEfunctions
, kmeans
.