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
  
  

详情，请移步：