def testTwoClsDiscriminator():
gmm = MCL.composeGMM(3)
(t, x) = gmm.sample().mixtures()
colors = [['blue', 'red'][int(label)] for label in t]
plt.scatter(x[:, 0], x[:, 1], color=colors)
disc = twoClsDiscriminator()
disc.fit(x, t)
xlim = [min(x[:, 0]), max(x[:, 0])]
ylim = [min(x[:, 1]), max(x[:, 1])]
tics = arange(xlim[0] - 3, xlim[1] + 3, 0.01)
plt.xlim(xlim[0] - 3, xlim[1] + 3)
plt.ylim(ylim[0] - 3, ylim[1] + 3)
plt.scatter(*disc.clusterCenters(), color='black')
plt.plot(*disc.centerDiffPlane(tics), color='gray')
plt.plot(*disc.wPlane(tics), color='orange')
plt.show()
def testTwoClsDiscriminator():
gmm = MCL.composeGMM(3)
(t,x) = gmm.sample().mixtures()
colors = [['blue', 'red'][int(label)] for label in t]
plt.scatter(x[:,0], x[:,1], color=colors)
disc = twoClsDiscriminator();
disc.fit(x,t)
xlim = [min(x[:,0]), max(x[:,0])]
ylim = [min(x[:,1]), max(x[:,1])]
tics = arange(xlim[0]-3,xlim[1]+3,0.01)
plt.xlim(xlim[0]-3,xlim[1]+3)
plt.ylim(ylim[0]-3,ylim[1]+3)
plt.scatter(*disc.clusterCenters(), color='black')
plt.plot(*disc.centerDiffPlane(tics), color='gray')
plt.plot(*disc.wPlane(tics), color='orange')
plt.show()
def main():
gmm = MCL.composeGMM(type)
