def main():
clusterer = OrientationClusterer(mixture.GMM(n_components=9, n_iter=500))
# plot_clusters(clusterer)
clusterer.fit()
predictions = clusterer.predict()
converter = clusterer.classify()
pprint(converter)
def main():
clusterer = OrientationClusterer(mixture.GMM(n_components=9, n_iter=500))
# plot_clusters(clusterer)
clusterer.fit()
predictions = clusterer.predict()
for row in predictions:
print(row)
print("###")
for row in smooth_results(predictions, 150):
print(row)
def main():
clusterer = OrientationClusterer(mixture.GMM(n_components=9, n_iter=500))
# plot_clusters(clusterer)
clusterer.fit()
predictions = clusterer.predict()
converter = clusterer.classify()
pprint(converter)