# -*- coding: utf-8 -*-
"""
Created on Wed Sep  7 09:13:13 2022

@author: Márton
"""

import numpy as np;  # importing numpy the scientific computing package with Python

v = np.array([1,1,2.0,2]);

M = np.array([[1,2,3,4],[2,3,4,5],[3,4,5,6],[4,5,6,7]]);

T= np.array([[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]]);

u=np.dot(M,v);

N = [[0,1],[1,2,3]];
N1 = np.array([[0,1],[1,2,3]]);

from sklearn.cluster import KMeans;
X = np.array([[1, 2], [1, 4], [1, 0],[10, 2], [10, 4], [10, 0]]);
kmeans = KMeans(n_clusters=2, random_state=0).fit(X);
clusters = kmeans.labels_;

