---
title: "Discussion on \"LDA vs PCA: Supervised Meets Unsupervised Dimensionality Reduction\" | Hashnode"
description: "Discussion on \"LDA vs PCA: Supervised Meets Unsupervised Dimensionality Reduction\". Compare PCA and Fisher's Linear Discriminant Analysis on the Iris dataset. Learn when unsupervised reduction fails, why labels matter, and the eigenvalue problem behind both methods."
url: "https://hashnode.com/posts/lda-vs-pca-supervised-meets-unsupervised-dimensionality-reduction/6a2c3271d617a213c25a71ce"
---

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# [LDA vs PCA: Supervised Meets Unsupervised Dimensionality Reduction](https://sesenai.hashnode.dev/lda-vs-pca-supervised-meets-unsupervised-dimensionality-reduction?utm_source=hashnode&utm_medium=feed)

Compare PCA and Fisher's Linear Discriminant Analysis on the Iris dataset. Learn when unsupervised reduction fails, why labels matter, and the eigenvalue problem behind both methods.

Jun 12 · 13 min read · sesenai.hashnode.dev  
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-   [#supervised-learning](https://hashnode.com/tag/supervised-learning)
-   [#unsupervised-learning](https://hashnode.com/tag/unsupervised-learning)
-   [#dimensionality-reduction](https://hashnode.com/tag/dimensionality-reduction)
-   [#statistics](https://hashnode.com/tag/statistics)

## Written by

[Berkan Sesen](https://hashnode.com/@berkansesen)

@berkansesen · London, UK

  
[View profile](https://hashnode.com/@berkansesen)

I think about AI. A lot.

I think about AI. A lot.

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