Robust Parameter Optimisation of Noise-Tolerant Clustering for DENCLUE Using Differential Evolution
Clustering samples based on similarity remains a significant challenge, especially when the goal is to accurately capture the underlying data clusters of complex arbitrary shapes. Existing density-based clustering techniques are known to be best suited for capturing arbitrarily shaped clusters. Howe...
Saved in:
Main Authors: | Omer Ajmal, Humaira Arshad, Muhammad Asad Arshed, Saeed Ahmed, Shahzad Mumtaz |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-10-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/12/21/3367 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved Denclue Outlier Detection Algorithm With Differential Privacy and Attribute Fuzzy Priority Relation Ordering
by: Huangzhi Xia, et al.
Published: (2023-01-01) -
Getting it right: suppression and leveraging of noise in robust decision-making
by: Rishikesh P. Bhalerao
Published: (2024-01-01) -
Noise-robust linear prediction analysis of speech based on super-Gaussian excitation
by: Bin ZHOU, et al.
Published: (2013-05-01) -
The study of selenophysical parameters with the use of the noise-immune method of robust estimates
by: Yu.A. Nefedyev, et al.
Published: (2020-12-01) -
Distributionally Robust Variational Quantum Algorithms With Shifted Noise
by: Zichang He, et al.
Published: (2024-01-01)