seed = np.random.randint(0, 100, (200, 206))
data = np.random.randint(0, 100, (400000.0, 206))
seed[:, (0)] = np.arange(200)
data[:, (0)] = np.random.randint(0, 200, 400000.0)
diam = np.empty(200)
Numpy - Clustering - Distance - Vectorisation