def perceptron_visualize(*args):
if len(args) == 2 and args[1]==True:
d = Diagram()
d.root.after(2000,perceptron_training_algorithm)
d.scatter_plot(args[0])
function(args[0], True, d)
else:
function(args[0], False)
def test_hierarchical_clustering(self):
cluster_list, instances_num = agglomerative_clustering(self.my_other_data)
for oeoeoe in cluster_list:
print(oeoeoe.distance, " left: ", (oeoeoe.left.label if oeoeoe.left is not None else 0), "right: ", (oeoeoe.right.label if oeoeoe.right is not None else 0))
print(len(cluster_list))
diagram = Diagram()
diagram.print_dendrogram(cluster_list, instances_num)