A Fast Global Center Fuzzy Clustering Method
In terms of the problems that the fuzzy C-means algorithm is sensitive to the initial center, easy to fall into the local optimal solution, and the algorithm iteration speed is slow, a rapid global center fuzzy clustering system model is established according to the global center theory of fuzzy...
Saved in:
| Main Authors: | SUN Dong-pu, TAN Jie-qiong |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2019-08-01
|
| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On Cluster Points of Sequences via Fuzzy Topology
by: Jyothis K Mohan, et al.
Published: (2024-10-01) -
A Study on the Existence of Fixed Point Results for Some Fuzzy Contractions in Fuzzy Metric Spaces with Application
by: Asifa Tassaddiq, et al.
Published: (2025-02-01) -
On g-fuzzy cone metric spaces
by: AYŞEGÜL ÇAKSU GÜLER
Published: (2021-06-01) -
Fuzzy Metric Spaces and Corresponding Fixed Point Theorems for Fuzzy Type Contraction
by: Musa Adeku Ibrahim, et al.
Published: (2024-11-01) -
Generalization of Fixed Point Theorem for φ- Contraction Mapping of a Fuzzy b- Metric Space
by: Russll Abdul Kadhim Mohammed, et al.
Published: (2025-07-01)