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9 changes: 2 additions & 7 deletions mlfromscratch/unsupervised_learning/gaussian_mixture_model.py
Original file line number Diff line number Diff line change
@@ -1,11 +1,6 @@
from __future__ import division, print_function
import numpy as np
import math
from sklearn import datasets
import numpy as np

from mlfromscratch.utils import normalize, euclidean_distance, calculate_covariance_matrix
from mlfromscratch.utils import Plot


class GaussianMixtureModel():
"""A probabilistic clustering method for determining groupings among data samples.
Expand Down Expand Up @@ -37,7 +32,7 @@ def _init_random_gaussians(self, X):
for i in range(self.k):
params = {}
params["mean"] = X[np.random.choice(range(n_samples))]
params["cov"] = calculate_covariance_matrix(X)
params["cov"] = np.cov(X, rowvar=False)
self.parameters.append(params)

def multivariate_gaussian(self, X, params):
Expand Down