7 citations · 8 across the 3 of their papers we have counts for
4 papers
Power to the Points: Validating Data Memberships in Clusterings
Parasaran Raman, Suresh Venkatasubramanian
A clustering is an implicit assignment of labels of points, based on proximity to other points. It is these labels that are then used for downstream analysis (either focusing on in…
A Geometric Algorithm for Scalable Multiple Kernel Learning
John Moeller, Parasaran Raman, Avishek Saha +1
We present a geometric formulation of the Multiple Kernel Learning (MKL) problem. To do so, we reinterpret the problem of learning kernel weights as searching for a kernel that max…
Generating a Diverse Set of High-Quality Clusterings
Jeff M. Phillips, Parasaran Raman, Suresh Venkatasubramanian
We provide a new framework for generating multiple good quality partitions (clusterings) of a single data set. Our approach decomposes this problem into two components, generating…
Spatially-Aware Comparison and Consensus for Clusterings
Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian
This paper proposes a new distance metric between clusterings that incorporates information about the spatial distribution of points and clusters. Our approach builds on the idea o…