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README.md

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@@ -44,18 +44,14 @@ Other functionalities of PCA are:
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## Read the Medium blog for more details.
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<p align="left">
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<a href="https://towardsdatascience.com/what-are-pca-loadings-and-biplots-9a7897f2e559">
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<img src="https://github.com/erdogant/pca/blob/master/docs/figs/medium_blog1.png?raw=true" width="150" />
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</a>
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#### [1. What are PCA loadings and how to effectively use Biplots?](https://towardsdatascience.com/what-are-pca-loadings-and-biplots-9a7897f2e559)
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<a href="https://towardsdatascience.com/outlier-detection-using-principal-component-analysis-and-hotellings-t2-and-spe-dmodx-methods-625b3c90897">
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<img src="https://github.com/erdogant/pca/blob/master/docs/figs/medium_blog2.png?raw=true" width="150" />
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</a>
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#### [2. Outlier Detection Using Principal Component Analysis and Hotelling’s T2 and SPE/DmodX Methods](https://towardsdatascience.com/outlier-detection-using-principal-component-analysis-and-hotellings-t2-and-spe-dmodx-methods-625b3c90897)
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</p>
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#### [3. Quantitative comparisons between t-SNE, UMAP, PCA, and Other Mappings.](https://towardsdatascience.com/the-similarity-between-t-sne-umap-pca-and-other-mappings-c6453b80f303)
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#
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