GitHub topics: supervised-pca
hung2jj/Principal_component_analysis
In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.
Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
bghojogh/Principal-Component-Analysis
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA
Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 5
bghojogh/Roweis-Discriminant-Analysis
The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods
Language: Python - Size: 3.14 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
bghojogh/Roweisposes
The code for Roweisposes method for 3D action recognition
Language: MATLAB - Size: 93.8 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0