principal component analysis C#

Principal Components Regression: Part 3 – The NIPALS Algorithm

Principal Components Regression: Recap of Part 2 Recall that the least squares solution to the multiple linear problem is given by (1) And that problems occurred finding when the matrix (2) was close to being singular. The Principal Components Regression approach to addressing the problem is to replace in equation (1) with a better conditioned approximation. This approximatio...
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Principal Components Regression: Part 2 – The Problem With Linear Regression

This is the second part in a three part series on PCR, the first article on the topic can be found here. The Linear Regression Model Multiple Linear Regression (MLR) is a common approach to modeling the relationship between one or two or more explanatory variables and a response variable by fitting a linear equation to observed data. First let’s set up some notation. I will be rather brief, ass...
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Clustering Analysis, Part I: Principal Component Analysis (PCA)

Cluster analysis or clustering is the assignment of a set of observations into subsets (called clusters) so that observations in the same cluster are similar in some sense. Cluster analysis is the assignment of a set of objects into one or more clusters based on object similarity. NMath Stats includes a variety of techniques for performing cluster analysis, which we will explore in a series of p...
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