Project for IST687 Applied Data Science- School of Information Studies, Syracuse University
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Updated
Feb 5, 2019 - R
Project for IST687 Applied Data Science- School of Information Studies, Syracuse University
Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ion…
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