A variant of the popular k-means algorithm that integrates constraint satisfaction into its objective function.

Original paper : Active Semi-Supervision for Pairwise Constrained Clustering, Basu et al. 2004

**Random Scaling** is a type of image data augmentation where we randomly change the scale the image between a specified range.

Random Scaling

PCKMeans

This method combines multiple optimization techniques like [ADAM](https://paperswithcode.com/method/adam) and [SGD](https://paperswithcode.com/method/sgd) or PADAM. This method can be applied to any couple of optimizers.

Image credit: [Combining Optimization Methods Using an Adaptive Meta Optimizer](https://www.mdpi.com/1999-4893/14/6/186)

Year	2000
Data Source	CC BY-SA - https://paperswithcode.com