Choose the similarity index or distance coefficient used to compare between the set of variables (Use Jaccard or Dice for binary data) :

Similarity index: Pearson correlation coefficient (r) Jaccard index (Tanimoto) Dice coefficient
Distance coefficient: Euclidean distance Manhattan distance (city block or taxicab distance) Mean square deviation (MSD) Root Mean Square Deviation (RMSD)
Do you want to normalize (standardize ) the input data? (only available for distance coefficients) No Yes

If the Pearson coefficient (r) has been chosen, choose the transformation of r to generate the distance values (d): d = (1 - r) * 100 d = - Ln (abs (r))

Do you want to generate 100 bootstrap replicates? No Yes

Do you want to omit rows with identical values for all the variables? No Yes