descripe.txt

来自「这是一个支持向量机的工具」· 文本 代码 · 共 7 行

Author: Kaijun Wang 
  Summary: 1-dim data projected to 2-dim curve manifold to represent correlations & geometric structure of data 
  MATLAB Release: R13 
  Description: Geometrical Correlation Learning (GcLearn) is to mine geometric information inherent in data, which is useful and important for data analysis fields such as knowledge discovery and pattern recognition. GcLearn projects the 1-dimensional data of each variable into a 2-dimensional curve manifold that represents intrinsic correlations and geometric structure of data. 
This program is designed to mine curve manifolds, and show its significance by example of exploring relational models between variables from data (or regression models and predictions). The geometrical learning applies the geometric information to linear gression and support vector machine regressions.