Rock Improvement

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Along with my colleagues, I improved the algorithm to ensure higher purity of clusters. We introduced the concept of inter vs intra cluster goodness measure to determine the conditions for clustering. Using the UCI Machine Learning datasets, we got results that proved our assumptions; the clusters formed had an average purity of 93%.

If you want the code / report on the project, please don’t hesitate to send me an email!

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