# TODO: Just change the following path and filename
# when needed to read from a different file
path = "/scratch/July-2018/Pairs/"
# TODO: Just change the following path and filename
# when needed to read from a different file
path = "/scratch/July-2018/Pairs/"
# Read and create an array of pairs
with open(path + filename, "r") as pairs:
# Read and create an array of pairs
with open(path + filename, "r") as pairs:
# Plot the data points based on the clusters
clusterer = KMeans(n_clusters=clusters, random_state=10)
cluster_labels = clusterer.fit_predict(X)
# 2nd Plot showing the actual clusters formed
colors = cm.nipy_spectral(cluster_labels.astype(float) / clusters)
# Plot the data points based on the clusters
clusterer = KMeans(n_clusters=clusters, random_state=10)
cluster_labels = clusterer.fit_predict(X)
# 2nd Plot showing the actual clusters formed
colors = cm.nipy_spectral(cluster_labels.astype(float) / clusters)
-ax2.scatter(X[:, 0], X[:, 1], marker='o', s=100, lw=0, alpha=0.3,
+ax2.scatter(X[:, 0], X[:, 1], marker='o', s=50, lw=0, alpha=0.3,