Density-ratio estimation

Since many existing distance-based clustering algorithms have a bias towards dense clusters, the proposed methods are used to “correct” this bias, based on the concept of “density-ratio”.

  1. modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The modified DBSCAN for density-ratio based clustering can be obtained from here.
  2. rescaling the given dataset to make equalise different clusters' densities, then a standard density-estimator can directly perform density-ratio estimation on the transformed dataset. The feature individual scaling method ReScale can be obtained from here, and the latest multi-dimensional distance scaling method DScale can be obtained from here.
Ye Zhu
Ye Zhu
Lecturer in IT

My research works focus on the fields of clustering and anomaly detection.