colors = {0: 'ro',
1: 'bo',
2: 'go'}
if __name__ == '__main__':
############################################## 2d
data, target = read_file()
data = preprocessing.scale(data)
pca = Pca()
cov = pca.cov_matrix(data[:, 0], data[:, 1], data[:, 2], data[:, 3])
values, vectors = pca.eigen_values_vectors(cov)
values, vectors = pca.sort_eigen(values, vectors)
vectors = pca.eigen_strip_vectors(values, vectors, 0.90)
print(vectors)
values = values[:len(vectors[0])]
result = np.matrix.transpose(pca.pca_result(data,
vectors)).reshape(len(data), len(data[0])-2)
result[:, 1] = -result[:, 1]
points = result
count = 0
class_points = []
fig = plt.figure()
for label in range(3):
for i in range(len(target)):
