892 citations · 2.3k across the 60 of their papers we have counts for
Showing 2017 · stat.MLShow all
3 papers · 2 filters
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…
stat.ML2017★ 3 cited
Model-Based Multiple Instance Learning
Ba-Ngu Vo, Dinh Phung, Quang N. Tran +1
While Multiple Instance (MI) data are point patterns -- sets or multi-sets of unordered points -- appropriate statistical point pattern models have not been used in MI learning. Th…