GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering

Zhaoyu Xing, Yang Wan, Juan Wen +1

It is important to identify the discriminative features for high dimensional clustering. However, due to the lack of cluster labels, the regularization methods developed for superv…