PCA and kernel PCA explained
Principal Components Analysis
06/10/2020
Gain a practical understanding of PCA and kernel PCA by learning to code the algorithms and test it on real spectroscopic data.
Category: Principal Components Analysis
Detecting outliers using the Mahalanobis distance with PCA in Python
How do we make sure we are detecting only true outliers and not cherry-picking from the data? Here's a method based on the Mahalanobis distance with PCA.
Classification of NIR spectra using Principal Component Analysis in Python
Classification, Principal Components Analysis
03/23/2018
An in-depth tutorial on how to run a classification of NIR spectra using Principal Component Analysis in Python. Step by step example with code.
NIR classification of macadamia kernels
Classification, Principal Components Analysis
07/06/2017
Can we use NIR analysis to grade macadamias? Check out our preliminary results of NIR classification of macadamia kernels using Principal Component Analysis.
The cricket thermometer: an introduction to Principal Component Analysis in Python
Classification, Principal Components Analysis
03/21/2017
A worked example for an introduction to Principal Component Analysis in Python.
