1.4k citations
- The University of MelbourneAU14 papers
- Monash UniversityAU13 papers
- Curtin UniversityAU11 papers
- National Institute for Materials ScienceJP11 papers
- Queen's University BelfastGB10 papers
- RMIT UniversityAU9 papers
- Swinburne University of TechnologyAU9 papers
- The University of SydneyAU9 papers
- Commonwealth Scientific and Industrial Research OrganisationAU7 papers
- UNSW SydneyAU7 papers
- Wenzhou UniversityCN6 papers
- Australian SynchrotronAU5 papers
Showing 2017 · stat.MLShow all
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stat.ML2017★ 42 cited
Multilevel Clustering via Wasserstein Means
Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin +3
We propose a novel approach to the problem of multilevel clustering, which aims to simultaneously partition data in each group and discover grouping patterns among groups in a pote…
stat.ML2017★ 3 cited
A Random Finite Set Model for Data Clustering
Dinh Phung, Ba-Ngu Bo
The goal of data clustering is to partition data points into groups to minimize a given objective function. While most existing clustering algorithms treat each data point as vecto…