def linkage(self, D):
''' linkage matrix with derivative node n+i'''
import scipy.cluster.hierarchy as sch
Y = sch.median(D)
#Z = sch.to_tree(Y, rd=True)
N = D.shape[0]
Y = concatenate((Y, arange(N,2*N-1).reshape((Y.shape[0], 1))), 1)
return Y
def dendrogram(D, link):
''' Plot dendrogram of cluster's parity.'''
import scipy.cluster.hierarchy as sch
lbl = [str(n+1) for n in xrange(D.shape[0])]
# Compute and plot dendrogram.
fig = plt.figure(figsize=(8,14),dpi=80)
ax1 = fig.add_axes([0.04,0.04,0.9,0.9])
Y = sch.median(D)
Z1 = sch.dendrogram(Y, orientation='right',labels=lbl)
ax1.set_xticks([])
ax1.set_ylabel("Identified Cluster")
ax1.set_xlabel("Cluster Parity")
plt.title(link)
#plt.show()
plt.savefig(pathjoin("TESTS",link,"plots",'dendrogram_'+link+'.png'),format='png', dpi=100)
#plt.show()
plt.close("all")
