Mean-Shift Clustering, also called “Mode-seeking algorithm”, is a clustering algorithm that iteratively shifts data points towards the mode value(mode being the highest density of data points in the area).


  • It doesn’t require specifying the number of clusters in advance.
  • It is computationally expensive
  • It’s often used in Computer Vision clustering tasks.