Title: 新建压缩 Download
Description: First of all, we have to figure out what Fisher's algorithm is? Any book on pattern recognition and intelligent computing will have this explanation. First of all, we have to know Fisher linear discriminant function. When processing data, we often encounter high-dimensional data. At this time, we often encounter the problem of "dimension disaster". That is, if it is feasible in low-dimensional space, it is not feasible in high-dimensional space. Then we can reduce the dimension of data and reduce the high-dimensional space to the low-dimensional space.
Downloaders recently: [More information of uploader xiaoyang1]]
File list (Click to check if it's the file you need, and recomment it at the bottom):