A project of my course "Introduction to Pattern Recognition". Realize LDA using MATLAB.
Realize Linear Discriminant Analysis (LDA) using MATLAB.
Use “Watermelon Dataset 3.0α” as the dataset, which is shown in table 4.5 on page 89 of Machine Learning written by Zhou Zhihua. Visualize the result of LDA.
Just simply change the data, then the code can be used to analysis other data.
The requirement of data is that, each sample has two continuous attributes, and each sample already has its label.
.pdf file is exported by .mlx file using MATLAB.
MATLAB version: R2018b
Matlab编程实现线性判别分析。
以周志华《机器学习》89页的表4.5的西瓜数据集3.0a为例，给出线性判别分析的可视化结果。
可以用于其它数据的分析，只需更改使用的数据即可。
对样本的要求是，每个样本有两个连续属性，并且数据自带标签。
在MATLAB中将.mlx文件导出到.pdf文件。
使用的MATLAB版本：R2018b