Luisada 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.2363  0.0055  0.0361  0.0345  0.0558  0.04
Ashkenazy 1981   33  0.3515  0.0142  0.1033  0.1045  0.0634  0.08
Beliavsky 2004   61  0.1964  0.0053  0.0458  0.0442  0.0843  0.06
BenOr 1989   25  0.3738  0.0029  0.0925  0.2346  0.0727  0.13
Biret 1990   32  0.3528  0.0030  0.0729  0.1845  0.0631  0.10
Blet 2003   7  0.472  0.052  0.162  0.6914  0.574  0.63
Block 1995   18  0.4116  0.0011  0.1213  0.5414  0.3812  0.45
Brailowsky 1960   3  0.4934  0.009  0.146  0.6425  0.3611  0.48
Chiu 1999   41  0.3141  0.0044  0.0552  0.0554  0.0454  0.04
Clidat 1994   45  0.3039  0.0048  0.0741  0.0744  0.0647  0.06
Cohen 1997   62  0.1754  0.0060  0.0362  0.0353  0.0464  0.03
Coop 1987   43  0.3052  0.0043  0.0836  0.0849  0.0544  0.06
Cortot 1951   58  0.2147  0.0061  0.0459  0.0439  0.0753  0.05
Czerny 1949   4  0.4821  0.006  0.257  0.6314  0.527  0.57
Czerny 1949b   11  0.4411  0.0112  0.1312  0.5614  0.559  0.55
Ezaki 2006   37  0.3346  0.0038  0.0739  0.0743  0.0836  0.07
Falvay 1989   22  0.3936  0.0015  0.1514  0.5330  0.1816  0.31
Ferenczy 1958   57  0.2256  0.0050  0.0649  0.0653  0.0646  0.06
Fiorentino 1962   5  0.4810  0.014  0.173  0.6810  0.642  0.66
Fliere 1977   48  0.2743  0.0051  0.0648  0.0637  0.0641  0.06
Fou 1978   9  0.466  0.0210  0.134  0.6721  0.496  0.57
Francois 1956   30  0.3525  0.0033  0.0644  0.0638  0.0649  0.06
Hatto 1997   53  0.2365  0.0057  0.0456  0.0452  0.0457  0.04
Horowitz 1971   15  0.4230  0.0019  0.0923  0.2829  0.2020  0.24
Horowitz 1985   24  0.3712  0.018  0.1219  0.4617  0.3413  0.40
Indjic 2001   51  0.2460  0.0054  0.0360  0.0362  0.0363  0.03
Kapell 1951   49  0.2620  0.0049  0.0553  0.0560  0.0356  0.04
Kiepura 1999   8  0.4713  0.017  0.128  0.6214  0.498  0.55
Kilenyi 1937   14  0.4240  0.0020  0.1217  0.4929  0.2017  0.31
Kissin 1993   27  0.3618  0.0035  0.0645  0.0643  0.0839  0.07
Kitain 1937   54  0.2331  0.0056  0.0457  0.0448  0.0561  0.04
Kushner 1990   40  0.3258  0.0041  0.0835  0.0851  0.0545  0.06
Levy 1951   46  0.2935  0.0045  0.0738  0.0759  0.0542  0.06
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   42  0.3137  0.0031  0.0730  0.1449  0.0533  0.08
Lympany 1968   47  0.2745  0.0046  0.0737  0.0743  0.0640  0.06
Magaloff 1977   26  0.3648  0.0028  0.0728  0.2123  0.3119  0.26
Magaloff 1977b   35  0.3357  0.0037  0.0643  0.0623  0.2128  0.11
Magin 1975   1  0.631  0.651  0.641  0.812  0.711  0.76
Milkina 1970   56  0.2333  0.0052  0.0646  0.0655  0.0551  0.05
Mohovich 1999   60  0.1961  0.0062  0.0555  0.0560  0.0460  0.04
Nadelmann 1956   10  0.469  0.0218  0.1118  0.4627  0.1718  0.28
Ohlsson 1999   23  0.3814  0.0132  0.0632  0.1132  0.1029  0.10
Olejniczac 1990   6  0.4823  0.005  0.205  0.6613  0.643  0.65
Olejniczak 1991   17  0.4151  0.0017  0.1815  0.5126  0.2215  0.33
Osinska 1989   16  0.4132  0.0022  0.1120  0.4055  0.0526  0.14
Paderewski 1912   39  0.3227  0.0036  0.0550  0.0534  0.0848  0.06
Perahia 1994   50  0.2462  0.0058  0.0554  0.0556  0.0459  0.04
Perlemuter 1986   28  0.3655  0.0034  0.0934  0.0945  0.0538  0.07
Poblocka 1999   29  0.3617  0.0024  0.1027  0.2232  0.1223  0.16
Rangell 2001   44  0.303  0.0526  0.0731  0.1351  0.0535  0.08
Risler 1920   13  0.4224  0.0016  0.2111  0.563  0.585  0.57
Rosen 1989   34  0.347  0.0221  0.1021  0.3428  0.4314  0.38
Rubinstein 1939   36  0.3319  0.0040  0.0642  0.0660  0.0355  0.04
Rubinstein 1952   19  0.405  0.0313  0.1716  0.5037  0.0524  0.16
Rubinstein 1966   12  0.444  0.0314  0.1410  0.5739  0.0622  0.18
Rummel 1943   2  0.508  0.023  0.169  0.596  0.5110  0.55
Shebanova 2002   31  0.3549  0.0027  0.0726  0.2251  0.0530  0.10
Smith 1975   21  0.3926  0.0023  0.1022  0.2925  0.1621  0.22
Szpilman 1948   38  0.3244  0.0039  0.0740  0.0738  0.0837  0.07
Uninsky 1971   52  0.2442  0.0047  0.0647  0.0662  0.0452  0.05
Wasowski 1980   20  0.4022  0.0025  0.1324  0.2739  0.0825  0.15
Weissenberg 1971   59  0.1950  0.0059  0.0551  0.0548  0.0650  0.05
Random 1    65  -0.0453  0.0064  0.0264  0.0244  0.0462  0.03
Random 2   63  0.0329  0.0063  0.0363  0.0319  0.3032  0.09
Random 3   64  -0.0159  0.0065  0.0265  0.0250  0.0365  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).