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joellaity.com | ||
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leimao.github.io
Fundamentals to Principal Component Analysis |
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peterbloem.nl
[AI summary] The text provides a comprehensive overview of Principal Component Analysis (PCA), starting with its mathematical foundation and practical applications. It explains the concept of PCA as a method for dimensionality reduction by projecting data onto a lower-dimensional subspace while preserving as much variance as possible. The article covers the derivation of PCA, its connection to eigenvectors and eigenvalues, and its use in various fields such as image processing, genetics, and data analysis. It also discusses the theoretical underpinnings of PCA, including the generalization of the best approximation theorem to higher dimensions and the role of orthogonal projections. The text includes references to key works in linear algebra and statistics, ... |
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evelinag.com
This is day 15 of the F# Advent Calendar. Do you know who wrote the classic Christmas story, 'A Christmas Carol'? Are you sure it was Charles Dickens? In this blog post, I'm using Principal Component Analysis to compare and visualise similarity between classic works of literature. |
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roape.net
[AI summary] The content is a cookie consent notice and introductory information about the Review of African Political Economy (ROAPE) journal, including subscription details. |
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