Consider the below printed, incomplete Python 3 program to perform clustering on a list of two-dimensional...

 

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Consider the below printed, incomplete Python 3 program to perform clustering on a list of two-dimensional points, given initial centroids. # Call this function to update the centroid of a cluster after adding a point. # Takes: list of clusters, corresponding list of centroids, index of the cluster def update_centroid (clusters, centroids, idx): # Your answer of c) will be considered here. Do not put here but on next page! def do cluster (data, threshold): [] 10 11 12 13 14 15 16 18 19 201 21 22 23 clusters centroids = [] for point in data: foo = False idx = 0 for c in centroids: if not foo: if distance (point, c) Consider the below printed, incomplete Python 3 program to perform clustering on a list of two-dimensional points, given initial centroids. # Call this function to update the centroid of a cluster after adding a point. # Takes: list of clusters, corresponding list of centroids, index of the cluster def update_centroid (clusters, centroids, idx): # Your answer of c) will be considered here. Do not put here but on next page! def do cluster (data, threshold): [] 10 11 12 13 14 15 16 18 19 201 21 22 23 clusters centroids = [] for point in data: foo = False idx = 0 for c in centroids: if not foo: if distance (point, c)

Answer rating: 100% (QA)

In the above code the parameter threshold does not directly control the number of clusters I... View the full answer