78 citations · 354 across the 35 of their papers we have counts for
3 papers · 1 filter
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…
Reinforcement Learning for Autonomous Defence in Software-Defined Networking
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham +6
Despite the successful application of machine learning (ML) in a wide range of domains, adaptability---the very property that makes machine learning desirable---can be exploited by…
Online Cluster Validity Indices for Streaming Data
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani +2
Cluster analysis is used to explore structure in unlabeled data sets in a wide range of applications. An important part of cluster analysis is validating the quality of computation…