3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Fuzzy K-Means Clustering without Cluster Centroids
Yichen Bao, Han Lu, Quanxue Gao
Fuzzy K-Means clustering is a critical technique in unsupervised data analysis. Unlike traditional hard clustering algorithms such as K-Means, it allows data points to belong to mu…
cs.LG2023
Rethinking k-means from manifold learning perspective
Quanxue Gao, Qianqian Wang, Han Lu +2
Although numerous clustering algorithms have been developed, many existing methods still leverage k-means technique to detect clusters of data points. However, the performance of k…
eess.AS2022★ 3 cited
Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering
Quan Wang, Yiling Huang, Han Lu +2
While recent research advances in speaker diarization mostly focus on improving the quality of diarization results, there is also an increasing interest in improving the efficiency…