Main Experiment. Distribution of the feature means when considering all the features. In each neuron it is represented the local mean of each features, and the error bars correspond to the local standard deviations. The plotted features are in red when their local mean deviates from the corresponding global mean by twice the global standard deviation. The vertical dashed lines are placed after every five features (e.g., at feature 4,9,14...29) to facilitate reading the plot. Order of the features: 0) A_SF, 1) γ_SF, 2) GP_DRW_τ, 3) GP_DRW_σ, 4) ExcessVar, 5) P_var, 6) IAR_φ, 7) Amplitude, 8) AndersonDarling, 9) Autocor_length, 10) Beyond1Std, 11) η^e, 12) Gskew, 13) LinearTrend, 14) MaxSlope, 15) Meanvariance, 16) MedianAbsDev, 17) MedianBRP, 18) PeriodLS, 19) PairSlopeTrend, 20) PercentAmplitude, 21) Q31, 22) Period_fit, 23) Ψ_CS, 24) Ψ_η, 25) R_CS, 26) Skew, 27) Std, 28) StetsonK, 29) class_star_hst, 30) i-z, 31) r-i, 32) B-r, 33) u-B, 34) z-y.