Commit 9ed86888 by Pierre-antoine Comby

### LBG algo

parent bc09d956
Pipeline #1196 passed with stage
in 3 minutes and 14 seconds
 #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun May 5 13:59:37 2019 @author: pac Algorithme de Linde-Buzo-Gray, version 2D """ import numpy as np import matplotlib.pyplot as plt from scipy.spatial import Voronoi, voronoi_plot_2d mean= [0,0] cov = [[1,0],[0,1]] M = 20; N =100; #point par cluster K = N*M means = np.random.rand(M,2)*10 X = np.zeros((K,2)) plt.figure() for m in range(M): xi = np.random.multivariate_normal(means[m,:],cov,N) X[m*N:(m+1)*N] = xi plt.plot(xi[:,0],xi[:,1],'+') plt.plot(means[:,0],means[:,1],'ob') plt.show() # X = np.random.multivariate_normal(mean,cov,K) Y0 = np.random.multivariate_normal(mean, cov,M) Y0 = means; def LBG(X,Y0,eps=1e-5,maxiter=1000): Y = Y0.copy() old_dist = np.inf cluster_index = np.zeros(K,dtype=int) for l in range(maxiter): dist= 0; for k in range(len(X)): quant_min =np.inf for j in range(len(Y)): if np.linalg.norm(X[k]-Y[j])
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