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3 hours ago by

Hello everyone,
I was looking at some PCA plots taken from an experiment. These data don't cluster in their first two principal components and if I dig a little bit deeper int he analysis and look at other combinations I can see a clear clustering when comparing 5 (3% of variance) vs 6 (2% of variance).

What does that mean? We would have expected a big separation in the first 2 main principal components. Does it mean that the expected separation is minimal and is explained by the (3+2)%=5% of variance of the whole experiment?

Thanks in advance.

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3 hours ago
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Mozart180



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