Ejemplos de cmp_doc_clusters en Python

Ejemplo n.º 1

Archivo: kmeans.py Proyecto: 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

Ejemplo n.º 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]

Ejemplo n.º 3

Archivo: fudan.py Proyecto: 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]

Ejemplo n.º 4

Archivo: kmeans.py Proyecto: 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

Ejemplo n.º 5

Archivo: CommunityBuilder.py Proyecto: 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

Ejemplo n.º 6

Archivo: CommunityBuilder.py Proyecto: 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