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# 判别分析(LDA / QDA) 分线性判别分析(LDA)和二次判别分析(QDA) 参考:https://blog.csdn.net/z962013489/article/details/79871789 ![1245e2e891474f7b06700b4fa7acee6f.png](/resources/a3036d73484f415aa503a4665ae4dd63) ![4f42c7cd1fed855a7c9e9a5e401e22ca.png](/resources/8d83d8d3945d481389966c793348fe9d) ## LDA具体过程 ![73e9d40d0cf30b91dbf14d9bc8246cff.png](/resources/c728f9639b144537a2250d6d694df805) ![b4eff3afcd3ed0c98544e026944ab184.png](/resources/98e0d7d486d44423b21f561a41293732) ![fc1844d64c17a4450fdf5a80730bc767.png](/resources/c64da1f506774951a9fc63d26109407d) > 另外补充一个解释: > > ![301547602e62acbe6ddf4aa6e848e297.png](/resources/5db1bb68f685437d84783a3d67ec79d0) ## LDA推广到多分类任务 ![dd04e99a2df8450f916f25e449605b4f.png](/resources/49e10966d9b640e7bf2ba32d4476996f) ![9d2a72f732a582fb7d0a127541b36949.png](/resources/33727ffbdde045fb8d1bea3e40bc6484) ## 引入核方法 ![502147835e9b1becdc33328c578b7420.png](/resources/555fb5d2abd545c9b531d94838e7fb79)