k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as ......
1. Optimization Methods
Gradient descent goes "downhill" on a cost function \(J\). Think of it as trying to do this:
**Figure 1** : **Minimizing th ......