Implementing two clustering validation measures

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Reference no: EM132271097

Assignment -

In this assignment, you will be implementing two clustering validation measures: Normalized Mutual Information (NMI) and Jaccard similarity.

You will be given one set of ground-truth clustering (partition) results and five clustering test cases. You need to evaluate the clustering test cases with regard to the ground-truth by NMI and Jaccard measures and submit your measures. You will be graded based on whether your measures are correct.

Use base 2 for all the logarithm in NMI calculation.

The ground-truth clustering (partition) results are stored in file "partitions.txt"; the five clustering result test cases are stored in file "clustering_l .txt", "clustering_5.txt".

All files including partitions.txt, clustering_l .txt, ..., can be downloaded from the data.zip file attached.

Each clustering result (both ground-truth and test cases) is represented by a file. Each line in a file consists of two integers, separated by a space. The first integer represents the id of a data item, and the second integer represents the id of the cluster that this item belongs to.

You need to submit a file titled "scores.txt" consisting of 5 lines. Each line contains two float numbers separated by a space. The first number of the i-th line represents the NMI measure you calculated for the i-th test case i (i.e., "clustering_i.txt") with regard to the ground-truth given in "partitions.txt", and the second number of the i-th line represents the Jaccard measure you calculated for the i-th test case.

Note - Your file format is correct and on how many of the measures you submitted are correct.

Attachment:- Assignment Files.rar

Reference no: EM132271097

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