位置：成果数据库 > 会议 > 会议详情页
FCM-FS: A simultaneous clustering and feature selection model for classification
  • 所属机构名称：南京师范大学
  • 会议名称：2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
  • 成果类型：会议
  • 会场：Los Angeles, CA
  • 相关项目：双重稀疏化的大间隔分类器研究
作者： Ming, Yang|Ji, Gen-Lin|Jing, Song|
同会议论文项目
双重稀疏化的大间隔分类器研究
期刊论文 23 会议论文 17
同项目会议论文
Hypothesis-margin model incorporating structure information for feature selection
A Gaussian mixture model-based clustering algorithm for image segmentation using dependable spatial
Semi-Fisher score: A semi-supervised method for feature selection
The role of compile principle in software curriculum
Some suggestions on the experimental teaching of the Compile Principle course
Semi-random subspace sampling for classification
A novel genetic algorithm for subspace based subclasssifier selection
MIC FS: A novel model for feature selection by mutual information guided by clustering
A novel spatial clustering algorithm based on spatial adjacent relation for GML data
A novel multi-surface proximal support vector machine classification model incorporating feature sel
NRFCM: A new robust fuzzy clustering algorithm for image segmentation
A new feature selection algorithm based on mutual information with pairwise constraints
New semi-supervised Multi-surface Proximal Support Vector Machine model
A novel hypothesis-margin based method incorporating minimal-redundancy criterion for feature select
Structured semi-supervised discriminant analysis
A novel algorithm based on conditional entropy established by clustering for feature selection