An Effective Algorithm Based on Density Clustering Framework
Clustering analysis has the very broad applications on data analysis, such as data mining, machine learning, and information retrieval. In practice, most of clustering algorithms suffer from the effects of noises, different densities and shapes, cluster overlaps, etc. To solve the problems, in this...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7892858/ |