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Sep 1, 2017
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Tweaks to get examples working #5

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2 changes: 1 addition & 1 deletion paper code/TICC.py
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Original file line number Diff line number Diff line change
Expand Up @@ -179,7 +179,7 @@ def compute_confusion_matrix(num_clusters,clustered_points_algo, sorted_indices_
seg_len = 200
true_confusion_matrix = np.zeros([num_clusters,num_clusters])
for point in xrange(len(clustered_points_algo)):
cluster = clustered_points_algo[point]
cluster = int(clustered_points_algo[point])


##CASE G: ABBACCCA
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4 changes: 2 additions & 2 deletions paper code/network_accuracy.py
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Expand Up @@ -42,7 +42,7 @@
num_blocks = window_size + 1
switch_penalty = beta## smoothness penalty
lam_sparse = lambda_parameter##sparsity parameter
maxClusters = number_of_cluster+1## Number of clusters + 1
maxClusters = number_of_clusters+1## Number of clusters + 1
write_out_file = False ##Only if True are any files outputted
num_stacked = num_blocks - 1
##colors used in hexadecimal format
Expand Down Expand Up @@ -179,7 +179,7 @@ def compute_confusion_matrix(num_clusters,clustered_points_algo, sorted_indices_
seg_len = 200
true_confusion_matrix = np.zeros([num_clusters,num_clusters])
for point in xrange(len(clustered_points_algo)):
cluster = clustered_points_algo[point]
cluster = int(clustered_points_algo[point])


##CASE G: ABBACCCA
Expand Down