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项目作者： harshit37

项目描述 ：
Analysing different dimensionality reduction techniques and svm
高级语言： Jupyter Notebook
项目地址: git://github.com/harshit37/Dimensionality-Reduction-using-PCA-LDA-and-t-SNE.git


Dimensionality-Reduction-using-PCA-LDA-and-t-SNE

  • Report consists of inferences gathered after implementing dimensionality reduction techniques like Principal Component analysis(PCA) , Linear Discriminant Analysis(LDA) , t-sNE(t-distributed stochastic neighbor estimation) and a maximal margin classifier (Support Vector Machine - SVM) on datasets like Labelled Faces In Wild(LFW) and the infamous Fischer Iris data.
  • Python notebook has the corresponding code .