cut_ftree: Cut a tree at a given level
In functClust: Functional Clustering of Redundant Components of a System

Description Usage Arguments Details Value

Take a tree and cut the matrix of component affectation at a given level.

1	cut_ftree(tree, nbcl)

`tree`	a list of a matrix of component affectation and a vector of coefficients of determination.
`nbcl`	an integer. `1 <= nbcl <= dim(tree$aff)[1]`.

A hierarchical tree is recorded as a list of matrix of component affectation and a vector of coefficients of determination.

The matrix of component affectation is a square matrix. Its dimension is "number of leaves" = "number of components". The clusters of components are labelled by integers, an integer by cluster. The first line of the square matrix corresponds to the trivial cluster. The trivial cluster get together all the components: all components are thus labelled by one. The second line separates the trivial cluster into 2 sub-clusters: the components are labelled 1 or 2 according to the cluster to which they belong. The following lines separate the trivial cluster into n sub-clusters, labelled from 1 to the line numero. The last line separate each component in a singleton cluster.

The function cut_ftree samples the line nbcl of the square matrix of component affectation.

Return a vector of component affectation.

functClust documentation built on Dec. 2, 2020, 5:06 p.m.