Mean-Shift Clustering: A non-parametric clustering technique that does not require specifying the number of clusters
Clustering helps you uncover patterns in data when you do not have labels. The difficulty is that many algorithms force a decision-how many clusters should exist. Mean-shift clustering avoids that by treating clusters as peaks in data density, letting the data reveal how many groups exist. If you are building unsupervised learning intuition through a […]
