In this phase each data point is first assigned to the closest cluster based on the local distance metric, and then centroids and dimension weights of the clusters are updated according to the assigned data points using an optimization technique.
In this phase each data point is first assigned to the closest cluster based on the local distance metric, and then centroids and dimension weights of the clusters are updated according to the assigned data points using an optimization technique.