MF: A MVDA Function

Description Usage Arguments Value

Description

This function implements the matrix factorization integration process

Usage

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MF(k, A, eps, iter_max, nView, V1.lc1, V1.lc2, V1.lc3, V1.lc4, V1.lc5, pazienti,
  info)

Arguments

k

the desidered number of cluster

A

is the matrix resulting from the concatenation of the membership matrix for each view

eps

is the precision parameter

nView

is the number of views

pazienti

is your matrix dataset

info

is the factor of class labels

iter_mat

the maximum allowed iteration

Value

a list containing the matrix factorization results, the clustering assignment, the confusion matrix, the error in confusion matrix, the matrix T of views influence, the matrix of clusters centroids, the labels for each cluster and the matrix of fisher test for each cluster


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