基于Fisher判别分析的分类模型研究

Research on Classification Model Based on Fisher Discriminant Analysis

Fisher判别分析是数据处理的常用技术。Fisher线性判别模型是找到一条合适的直线,使得数据点在投影到直线后可以被分离。本文通过对Fisher判别分析和高斯核函数的分类的研究,通过实际例子,在matlab中编程实现算法,分别画图比较了二维数据和三维数据的分类结果。

Fisher discriminant analysis is a commonly used technique for data processing. The Fisher linear discriminant model is to find a suitable straight line so that the data points can be separated after being projected onto a straight line. In this paper, the classification of Fisher discriminant analysis and Gaussian kernel function is studied. Through practical examples, the algorithm is implemented in matlab,and the two-dimensional data and three-dimensional data are compared separately.