a python script that implements the Expectation-Maximization (EM) algorithm for clustering

$10-40 USD

In Progress

Posted

over 3 years ago

$10-40 USD

Paid on delivery

For EM initialization, use the first n/k points for cluster 1, the next n/k for cluster 2, and so on, i.e., your initial model parameters will be based on the above initial clustering. For convergence testing, you can compare the sum of the Euclidean distance between the old means and the new means over the k clusters. If this distance is less than 0.000001 you can stop the method. more details in the inbox

Python

Machine Learning (ML)

Algorithm

Data Mining

Linux

Project ID: 27667937

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@rkurilenko007

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