Jiang Xie

Orcid: 0000-0003-0286-3662

Affiliations:
  • Chongqing University, College of Computer Science, Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China


According to our database1, Jiang Xie authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
K-Means Clustering With Natural Density Peaks for Discovering Arbitrary-Shaped Clusters.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm.
Inf. Sci., 2024

An adaptive density clustering approach with multi-granularity fusion.
Inf. Fusion, 2024

Granular-ball-based Fast Spectral Embedding Clustering Algorithm for Large-Scale Data.
Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

An Efficient Fuzzy Stream Clustering Method Based on Granular-Ball Structure.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

W-GBC: An Adaptive Weighted Clustering Method Based on Granular-Ball Structure.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
An Efficient Spectral Clustering Algorithm Based on Granular-Ball.
IEEE Trans. Knowl. Data Eng., September, 2023

Research on Efficient Fuzzy Clustering Method Based on Local Fuzzy Granular balls.
CoRR, 2023

GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing.
CoRR, 2023

2022
A novel cluster internal evaluation index based on hyper-balls.
CoRR, 2022

An adaptive granularity clustering method based on hyper-ball.
CoRR, 2022

2020
A density-core-based clustering algorithm with local resultant force.
Soft Comput., 2020

A local-gravitation-based method for the detection of outliers and boundary points.
Knowl. Based Syst., 2020

A new internal index based on density core for clustering validation.
Inf. Sci., 2020

2019
A novel clustering algorithm based on the natural reverse nearest neighbor structure.
Inf. Syst., 2019

2018
Density core-based clustering algorithm with dynamic scanning radius.
Knowl. Based Syst., 2018


  Loading...