mvclst: A MVDA Function

Description Usage Arguments Value

Description

This function evaluate clustering stability by performing multi-view integration perturbing the dataset via leave-one-out and comparing NMI between different clustering results.

Usage

1
mvclst(method = "matrix_factorization", center, class_cluster, X)

Arguments

method

is the method you can use for the integration. Values can be matrix_factorization (default) of gli.

center

is the matrix of centroid

class_cluster

is the vector of class labels assigned to each cluster

X

is the staked matrix of membeship matrix of each view.

Value

a list containing the list of clustering obtained, the NxN matrix of NMI betwee each couple of clustering, the mean and the standard deviation of this matrix.


angy89/MVDA_package documentation built on May 7, 2019, 8:58 p.m.