One of the simplest machine learning algorithms that I know is K-means clustering. It is used to classify a data set into k groups with similar attributes and lets itself really well to visualization!
Here is a quick overview of the algorithm:
- Pick or randomly select k group centroids
- Group/bin points by nearest centroid
- Recalculate centroids from points in corresponding bin
- Continue binning/moving centroids until convergence
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