def testRelativeImageSegmentation(self):
image = ndimage.imread('..//..//images//113044.jpg')
# Successive executions of the clustering algorithm
no_of_clusters_list, values_of_q, PC, PE, XB, FS = relative_criteria.relative_validity_fuzzy(
image)
# Plot the indices
plot_relative_criteria_fuzzy(no_of_clusters_list, values_of_q, PC, PE,
XB, FS)
plt.show()
def testRelativeBlobs(self):
no_of_clusters= 5
# Create the dataset
X, y = make_blobs(n_samples=100, centers= no_of_clusters, n_features=2,random_state=20)
# Successive executions of the clustering algorithm
no_of_clusters_list, values_of_q, PC, PE, XB, FS = relative_criteria.relative_validity_fuzzy(X, no_of_clusters)
# Plot the indices
plot_relative_criteria_fuzzy(no_of_clusters_list, values_of_q, PC, PE, XB, FS)
plt.show()
def testRelativeMoons(self):
no_of_clusters= 2
# Create the dataset
X, y = make_moons(n_samples=100, shuffle = True, noise = 0.1, random_state = 10)
# Successive executions of the clustering algorithm
no_of_clusters_list, values_of_q, PC, PE, XB, FS = relative_criteria.relative_validity_fuzzy(X, no_of_clusters)
# Plot the indices
plot_relative_criteria_fuzzy(no_of_clusters_list, values_of_q, PC, PE, XB, FS)
plt.show()