Common clustering techniques include k-means, Gaussian mixture model, density-based and spectral. This article explains how to implement DBSCAN ("density based spatial clustering of applications with ...

When using DBSCAN clustering, you should normalize the data so that all the columns have roughly the same magnitude, often between 0 and 1, or between -1 and +1. This prevents a column with large ...