How to perform linear discriminant analysis (LDA)?

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joynjo 2018-3-1

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/385744-how-to-perform-linear-discriminant-analysis-lda

编辑： joynjo 2018-3-1

I have a set data (100, 61), 100 is sampling point(observation), 61 is features. I have done data reducement using PCA before, but the plot of coeff 1 and 2 (PCA 1 and 2) has many overlap data. Hence I want to try LDA which has an euclidean distance between classes that expected can perform better than PCA. But I have difficulties to perform LDA using fisheriris function, I refer to this link

https://www.mathworks.com/help/stats/create-and-visualize-discriminant-analysis-classifier.html

but those only plot two feature (PL and PW). But in my case I need to plot 61 features in the same plot as perform in PCA as coeff1/coeff2. How do I can perform data projection using LDA(which considering euclidean distance) ?