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Poster
Thu 9:00 Average Sensitivity of Euclidean k-Clustering
Yuichi Yoshida · Shinji Ito
Poster
Wed 14:00 Wasserstein $K$-means for clustering probability distributions
Yubo Zhuang · Xiaohui Chen · Yun Yang
Workshop
Skeleton Clustering: Graph-Based Approach for Dimension-Free Density-Aided Clustering
Zeyu Wei · Yen-Chi Chen
Poster
Wed 9:00 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means
Rong Yin · Yong Liu · Weiping Wang · Dan Meng
Poster
Thu 14:00 Improved Coresets for Euclidean $k$-Means
Vincent Cohen-Addad · Kasper Green Larsen · David Saulpic · Chris Schwiegelshohn · Omar Ali Sheikh-Omar
Poster
Tue 14:00 Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
Lingxiao Huang · Zhize Li · Jialin Sun · Haoyu Zhao
Workshop
Fuzzy c-Means Clustering in Persistence Diagram Space for Deep Learning Model Selection
Thomas Davies · Jack Aspinall · Bryan Wilder · Long Tran-Thanh
Poster
Thu 9:00 Cluster and Aggregate: Face Recognition with Large Probe Set
Minchul Kim · Feng Liu · Anil K Jain · Xiaoming Liu
Poster
Wed 14:00 Global Optimal K-Medoids Clustering of One Million Samples
Jiayang Ren · Kaixun Hua · Yankai Cao