This tutorial provides a practical guide on how to use PCA and Agglomerative Clustering in Python for dimensionality reduction and hierarchical clustering, respectively. By understanding the ...

Learn what is PCA, why use it, and how to perform it in Python or R using scikit-learn and prcomp functions with examples. Sign in to view more content Create your free account or sign in to ...

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Abstract: In this paper we proposed a face recognition techniques based on Principal component analysis and two Dimension Principal Component Analysis using python. Many researcher’s use Matlab ...

Kernel principal component analysis (PCA) is proposed as a nonlinear technique for dimensionality reduction. The basic idea is to map the input space into a feature space via nonlinear mapping and ...