Least squares KNN-based weighted multiclass twin SVM
K-nearest neighbor (KNN) based weighted multi-class twin support vector machines (KWMTSVM) is a novel multi-class classification method. In this paper, we propose a novel least squares version of KWMTSVM called LS-KWMTSVM by replacing the inequality constraints with equality constraints and minimize...
Saved in:
Main Authors: | Tanveer, M., Sharma, A., Suganthan, Ponnuthurai Nagaratnam |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160781 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Oblique decision tree ensemble via twin bounded SVM
by: Ganaie, M. A., et al.
Published: (2022) -
Kernel based online learning for imbalance multiclass classification
by: Ding, Shuya, et al.
Published: (2020) -
General twin support vector machine with pinball loss function
by: Tanveer M., et al.
Published: (2021) -
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
by: Shi, Qiushi, et al.
Published: (2023) -
SMO Algorithm for Least Squares SVM
by: Keerthi, S.S., et al.
Published: (2014)