In this recent paper, we analysed the statistical power of different dimensionality reduction and cluster analysis algorithms. We found that sample size was less important (fine from N=30 per subgroup), but cluster separation is crucial! Paper contains tips, tricks, and recommendations: doi.org/10.1186/s12859-022-046

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