146 citations · 228 across the 21 of their papers we have counts for
5 papers · 1 filter
GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing
Jiang Xie, Shuyin Xia, Guoyin Wang +1
Most of the existing clustering methods are based on a single granularity of information, such as the distance and density of each data. This most fine-grained based approach is us…
A novel cluster internal evaluation index based on hyper-balls
Jiang Xie, Pengfei Zhao, Shuyin Xia +2
It is crucial to evaluate the quality and determine the optimal number of clusters in cluster analysis. In this paper, the multi-granularity characterization of the data set is car…
Granular-Ball Fuzzy Set and Its Implementation in SVM
Shuyin Xia, Xiaoyu Lian, Guoyin Wang +2
Most existing fuzzy set methods use points as their input, which is the finest granularity from the perspective of granular computing. Consequently, these methods are neither effic…
Learning Personalized Representations using Graph Convolutional Network
Hongyu Shen, Jinoh Oh, Shuai Zhao +3
Generating representations that precisely reflect customers' behavior is an important task for providing personalized skill routing experience in Alexa. Currently, Dynamic Routing…
Ball k-means
Shuyin Xia, Daowan Peng, Deyu Meng +4
This paper presents a novel accelerated exact k-means algorithm called the Ball k-means algorithm, which uses a ball to describe a cluster, focusing on reducing the point-centroid…