Python cmp_doc_clusters Exemples

Exemple #1

Fichier : kmeans.py Projet : Calvin-he/docclustering

def out_result(predicted,k, real_labels):
    adjr = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'rand')
    nmi = cmpcluster.cmp_doc_clusters(predicted,real_labels,'nmi')
    fm = cmpcluster.cmp_doc_clusters(predicted,real_labels,'f-measure')
    vm = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'v-measure')
    s = '%d \t%.3f \t%.3f \t%.3f \t%.3f\r\n' % (k, adjr, nmi, fm, vm)
    return s

Exemple #2

def cmp_cluster(predicted, real_labels):
    ncluster = len(set(predicted))
    adjr = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'rand')
    nmi = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'nmi')
    fm = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'f-measure')
    vm = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'v-measure')
    return [ncluster, adjr, nmi, fm, vm]

Exemple #3

Fichier : fudan.py Projet : Calvin-he/docclustering

def cmp_cluster(predicted, real_labels):
    ncluster = len(set(predicted))
    adjr = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'rand')
    nmi = cmpcluster.cmp_doc_clusters(predicted,real_labels,'nmi')
    fm = cmpcluster.cmp_doc_clusters(predicted,real_labels,'f-measure')
    vm = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'v-measure')
    return [ncluster, adjr,nmi,fm,vm]

Exemple #4

Fichier : kmeans.py Projet : piaofu110/docclustering

def out_result(predicted, k, real_labels):
    adjr = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'rand')
    nmi = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'nmi')
    fm = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'f-measure')
    vm = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'v-measure')
    s = '%d \t%.3f \t%.3f \t%.3f \t%.3f\r\n' % (k, adjr, nmi, fm, vm)
    return s

Exemple #5

Fichier : CommunityBuilder.py Projet : Calvin-he/docclustering

def cmp_cluster_result(predicted,ncluster,real_labels):
    adjr = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'rand')
    nmi = cmpcluster.cmp_doc_clusters(predicted,real_labels,'nmi')
    fm = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'f-measure')
    vm = cmpcluster.cmp_doc_clusters(predicted,real_labels, 'v-measure')
    prec = cmpcluster.cmp_doc_clusters(predicted,real_labels,'prec')
    call = cmpcluster.cmp_doc_clusters(predicted,real_labels,'call')
    #h**o = cmpcluster.cmp_doc_clusters(predicted, real_labels,'h**o')
    #compt = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'complete')
    s = '%d \t%.3f \t%.3f \t%.3f \t%.3f \t%.3f \t%.3f\n' % (ncluster, adjr, nmi, fm, vm, prec, call)
    return s

Exemple #6

Fichier : CommunityBuilder.py Projet : piaofu110/docclustering

def cmp_cluster_result(predicted, ncluster, real_labels):
    adjr = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'rand')
    nmi = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'nmi')
    fm = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'f-measure')
    vm = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'v-measure')
    prec = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'prec')
    call = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'call')
    #h**o = cmpcluster.cmp_doc_clusters(predicted, real_labels,'h**o')
    #compt = cmpcluster.cmp_doc_clusters(predicted, real_labels, 'complete')
    s = '%d \t%.3f \t%.3f \t%.3f \t%.3f \t%.3f \t%.3f\n' % (
        ncluster, adjr, nmi, fm, vm, prec, call)
    return s