基于偏最小二乘法的信息粒降维及聚类研究
The Research for Information Granule Reduction and Cluster Based on the Partial Least Squares

利用偏最小二乘法,按最大相关性提取出最强解释能力的信息,实现信息粒降维;通过欧氏距离聚类,获取不同层次的信息粒;根据需求选择合适的粒度进行分析.实验结果表明:文中所提方法是可行有效的.
According to the biggest correlation and the best interpret ability to achieve reducing dimensions based on the partial least squares. To cluster use Euclidean distance, and to obtain different information granular. Analyze the suitable granular in the actual field. It was proved to be feasible and effective after tested with a database