Description Usage Arguments Value
This function implements the matrix factorization integration process
1 2 | MF(k, A, eps, iter_max, nView, V1.lc1, V1.lc2, V1.lc3, V1.lc4, V1.lc5, pazienti,
info)
|
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 |
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
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