Summary of Boosting K-means For Big Data by Fusing Data Streaming with Global Optimization, By Ravil Mussabayev et al.
Boosting K-means for Big Data by Fusing Data Streaming with Global Optimizationby Ravil Mussabayev, Rustam…
Summary of Pseudo-label Refinement For Improving Self-supervised Learning Systems, by Zia-ur-rehman et al.
Pseudo-label Refinement for Improving Self-Supervised Learning Systemsby Zia-ur-Rehman, Arif Mahmood, Wenxiong KangFirst submitted to arxiv…
Summary of On Time Series Clustering with K-means, by Christopher Holder et al.
On time series clustering with k-meansby Christopher Holder, Anthony Bagnall, Jason LinesFirst submitted to arxiv…
Summary of Comparative Evaluation Of Clustered Federated Learning Methods, by Michael Ben Ali (irit) et al.
Comparative Evaluation of Clustered Federated Learning Methodsby Michael Ben Ali, Omar El-Rifai, Imen Megdiche, André…
Summary of On Partial Prototype Collapse in the Dino Family Of Self-supervised Methods, by Hariprasath Govindarajan et al.
On Partial Prototype Collapse in the DINO Family of Self-Supervised Methodsby Hariprasath Govindarajan, Per Sidén,…
Summary of Gbct: An Efficient and Adaptive Granular-ball Clustering Algorithm For Complex Data, by Shuyin Xia et al.
GBCT: An Efficient and Adaptive Granular-Ball Clustering Algorithm for Complex Databy Shuyin Xia, Bolun Shi,…
Summary of Cohex: a Generalized Framework For Cohort Explanation, by Fanyu Meng et al.
CohEx: A Generalized Framework for Cohort Explanationby Fanyu Meng, Xin Liu, Zhaodan Kong, Xin ChenFirst…
Summary of Tabseq: a Framework For Deep Learning on Tabular Data Via Sequential Ordering, by Al Zadid Sultan Bin Habib et al.
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Orderingby Al Zadid Sultan…
Summary of Fair Clustering For Data Summarization: Improved Approximation Algorithms and Complexity Insights, by Ameet Gadekar et al.
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insightsby Ameet Gadekar, Aristides Gionis,…
Summary of Federated Temporal Graph Clustering, by Zihao Zhou et al.
Federated Temporal Graph Clusteringby Zihao Zhou, Yang Liu, Xianghong Xu, Qian LiFirst submitted to arxiv…