Quant analytics: Principle component analysis and Linear discrimination analysis!, tools to visualize Screen and plot, PCA?
hi, can anyone share me the information about Principle component analysis and Linear discrimination analysis!, what kind of software i can use to visualize Scree plot, PCA plot ..? many thanks
What exactly u wanna know in Principal Component Analysis(PCA)? Caz To know PCA u shd have atleast basic knowledge of Matrix(addition, subtraction, multiplication, inverse etc.) because PCA deals with variance-covariance matrix(or Sigma Matrix) & it helps in data reduction & data interpretation and used manly for factoring the sigma matrix for the factor analysis.
Discriminant analysis is completely different concept caz in this we concern with sorting objects into 2 or more classes. This technique is used when the dependent variable is categorical & independent variable is cardinal.
& u can use SPSS for these techniques
For addition, PCA not to reduce data but to reduce dimension of the data. This analysis is used when you want to use all of the variable but there is collinearity among them. in my experience PCA is just intermediary analysis before go to factor analysis or regression. You can use either SAS, SPSS or minitab to conduct this analysis.
thank you very much for the post, actually i do have results for different samples form different country generated by an equipement that i use, Following the litteratures, i believe that i can assess the purity and the autenticity of these samples. moreover i can assess the origine of thess samples by sorting the them into similarity groupes!.
many litteratures uses different approashes like PCA, LDA, DA, PLS, and cluster analysis, and sometimes they use combine PCA and LDA to assess the data
for me i would like to know whish best approach i can use for the purpose.
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