Abstract
AbstractCharacteristic vector analysis of a set of six physical and empirical parameters of 103 commonly used organic solvents (bp, ϵr, μ, nD, E, and δ) gives four vectors describing 95% of the total data variability. Non‐hierarchical cluster analysis, applied to our results, leads to ten separate classes of organic solvents.
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