def __init__(self, obj, X = 'None', labels_true=None, store_X=False, digits = 3):
self.model = obj
self.n_clusters = obj.n_clusters
self.variables = np.shape(obj.centers)[1]
self.centers = _clust_centers(obj.centers)
self.labels = MAP(obj.u)
self.cluster_size, self.cluster_weights = _clust_weight(self.labels)
self.ARI, self.FM = _clustering_evaluation(self.labels, labels_true, digits)
self.fuzzy = obj.m
self.membership = obj.u
self.X = _store_X(X, store_X)
self.labels_true = labels_true
def __init__(self, obj, X=None, labels_true=None, store_X=False, digits = 3):
self.model = obj
self.n_clusters = obj.n_clusters
self.variables = np.shape(obj.cluster_centers_)[1]
self.SIL, self.DB, self.CH = _clustering_metrics(obj.labels_, X, digits)
self.centers = _clust_centers(obj.cluster_centers_)
self.labels = obj.labels_
self.labels_names = np.unique(obj.labels_)
self.cluster_size, self.cluster_weights = _clust_weight(obj.labels_)
self.ARI, self.FM = _clustering_evaluation(obj.labels_, labels_true, digits)
self.iter = obj.n_iter_
self.init = obj.n_init
self.init_type = obj.init
self.algorithm_type = obj._algorithm
self.X = _store_X(X, store_X)
self.labels_true = labels_true
def __init__(self, obj, X=None, labels_true=None, store_X=False, digits=3):
self.model = obj
self.n_clusters = np.unique(obj.labels_).shape[0]
self.variables = obj.n_features_in_
self.SIL, self.DB, self.CH = _clustering_metrics(
obj.labels_, X, digits)
self.centers = _clust_centers_X(X, obj.labels_)
self.labels = obj.labels_
self.labels_names = obj.n_features_in_
self.cluster_size, self.cluster_weights = _clust_weight(obj.labels_)
self.ARI, self.FM = _clustering_evaluation(obj.labels_, labels_true,
digits)
self.eps = obj.eps
self.min_samples = obj.min_samples
self.metric = obj.metric
self.power_mink = obj.p
self.leaf = obj.leaf_size
self.algorithm_type = obj.algorithm
self.X = _store_X(X, store_X)
self.labels_true = labels_true