位置：成果数据库 > 期刊 > 期刊详情页
Local k-proximal plane clustering
  • ISSN号：0941-0643
  • 期刊名称：Neural Computing & Applications
  • 时间：2015.1
  • 页码：199-211
  • 相关项目：基于非平行超平面支持向量机的最优化模型及算法研究
作者： Yang, Zhi-Min|Guo, Yan-Ru|Li, Chun-Na|Shao, Yuan-Hai|
同期刊论文项目
基于非平行超平面支持向量机的最优化模型及算法研究
期刊论文 47 会议论文 4
同项目期刊论文
A novel margin-based twin support vector machine with unity norm hyperplanes
Least squares twin parametric-margin support vector machine for classification
未确知支持向量机
Ensemble learning for generalised eigenvalues proximal support vector machines
Comparing inflation forecasts using an Ε-wavelet twin support vector regression
A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regressi
Robust L1-norm nonparallel proximal support vector machine
Weighted linear loss twin support vector machine for large-scale classification
Nonparallel hyperplane support vector machine for binary classification problems
Manifold proximal support vector machine for semi-supervised classification
A proximal classifier with positive and negative local regions
Weighted Linear Loss Support Vector Machine for Large Scale Problems
The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense
Laplacian smooth twin support vector machine for semi-supervised classification
A novel feature selection method for twin support vector machine
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification
外商直接投资空间联系研究——以浙江省为例
基于流形正则化的半监督投影双子支持向量机
Laplacian unit-hyperplane learning from positive and unlabeled examples
Laplacian least squares twin support vector machine for semi-supervised classification
金融空间联系及K-means聚类中心等级识别研究——以长三角为例
Combined outputs framework for twin support vector machines
A GA-based model selection for smooth twin parametric-margin support vector machine
金融空间联系与SOM神经网络中心等级识别——以浙江省县域为例
Multiple recursive projection twin support vector machine for multi-class classification
Robust L1-norm two-dimensional linear discriminant analysis.
MLTSVM: A novel twin support vector machine to multi-label learning
Multiple birth support vector machine for multi-class classification
Twin Support Vector Machine for Clustering
基于特征值分解的最大间隔支持向量回归机
鲁棒的稀疏Lp-模主成分分析