31 citations · 171 across the 14 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2018★ 28 cited
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Ye Zhu, Kai Ming Ting, Yuan Jin +1
This paper focuses on density-based clustering, particularly the Density Peak (DP) algorithm and the one based on density-connectivity DBSCAN; and proposes a new method which takes…
cs.LG2018★ 22 cited
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Ye Zhu, Kai Ming Ting, Mark Carman +1
The problem of inhomogeneous cluster densities has been a long-standing issue for distance-based and density-based algorithms in clustering and anomaly detection. These algorithms…