Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data

Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar +1

Subspace clustering aims to find groups of similar objects (clusters) that exist in lower dimensional subspaces from a high dimensional dataset. It has a wide range of applications…