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1. The followings are the performance measures generated from multiple runs of the k-Means model on the...

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Question

Programming

1.

The followings are the performance measures generated frommultiple runs of the k-Means model on the same dataset withdifferent configurations. Which one presents the best k-Meansmodel.

Select one:

a. SSE: 303; Davies-Bouldin index: 0.29

b. SSE: 706: Davies-Bouldin index: 0.85

c. SSE: 866; Davies-Bouldin index: 0.87

2.

You have to specify which of the following parameters before therun of the DBSCAN algorithm.

Select one:

a. epsilon

b. epsilon and MinPoints

c. Number of clusters (k)

d. MinPoints

Answer & Explanation Solved by verified expert
4.5 Ratings (801 Votes)
1 Option is a a SSE 303 DaviesBuldin index 029 SSE is defined as the Squared sum of the distance between the centroid and all of the members in the cluster For a good cluster Intraclass similarity should be high which means as low SSE as possible DaviesBouldin Index Lower    See Answer
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