def runScript():
[X, Y] = sm.generateDataMatrices(conn);
kerrors = [];
for k in range(1, 11):
toterror = float('Inf');
for n in range(Nk):
Mus = kmeans(X, k);
avdist = calculateAverageDistance(X, Mus) / float(Nk);
if avdist < toterror:
toterror = avdist;
kerrors.append(toterror);
print kerrors;
def runScript():
[X, Y] = sm.generateDataMatrices(conn);
X = zeroOutMeans(X);
X = unitStd(X);
Cov = generateCovMatrix(X);
[U,S,V] = np.linalg.svd(Cov);
print Cov;
with open('data.csv', 'w') as csvfile:
writer = csv.writer(csvfile);
[writer.writerow(r) for r in X];
file = open('dataLabels.csv', 'w');
for elem in Y:
file.write("%s\n" % elem);