Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   14  0.7423  0.006  0.158  0.4357  0.0424  0.13
Ax 1995   9  0.7717  0.0118  0.0910  0.3836  0.0816  0.17
Bacha 1998   51  0.6142  0.0052  0.0451  0.0456  0.0460  0.04
Barbosa 1983   60  0.4657  0.0051  0.0456  0.0451  0.0563  0.04
BenOr 1989   61  0.4322  0.0062  0.0638  0.0663  0.0450  0.05
Biret 1990   42  0.6430  0.0047  0.0641  0.0663  0.0451  0.05
Brailowsky 1960   10  0.7651  0.0013  0.1116  0.3213  0.336  0.32
Chiu 1999   40  0.6520  0.0127  0.0931  0.1837  0.0632  0.10
Clidat 1994   15  0.7464  0.0020  0.1022  0.2852  0.0623  0.13
Cohen 1997   50  0.6161  0.0049  0.0457  0.0416  0.4025  0.13
Cortot 1951   63  0.2434  0.0063  0.0448  0.0438  0.0653  0.05
Csalog 1996   2  0.8311  0.022  0.196  0.477  0.423  0.44
Czerny 1989   18  0.7339  0.0026  0.0826  0.2532  0.1017  0.16
Ezaki 2006   21  0.7337  0.0036  0.0640  0.0659  0.0440  0.05
Falvay 1989   36  0.696  0.047  0.1020  0.2928  0.1610  0.22
Fiorentino 1962   16  0.7414  0.0125  0.0919  0.3063  0.0431  0.11
Fliere 1977   1  0.841  0.321  0.321  0.6813  0.482  0.57
Fou 1978   49  0.6153  0.0048  0.0450  0.0459  0.0559  0.04
Francois 1956   33  0.697  0.0329  0.0825  0.2622  0.387  0.31
Goldenweiser 1946   58  0.518  0.0344  0.0452  0.0430  0.1736  0.08
Gornostaeva 1994   62  0.4240  0.0060  0.0458  0.0459  0.0466  0.04
Groot 1988   17  0.7410  0.028  0.109  0.4043  0.0521  0.14
Hatto 1993   35  0.6962  0.0039  0.0642  0.0660  0.0452  0.05
Hatto 1997   34  0.6955  0.0042  0.0637  0.0661  0.0446  0.05
Horszowski 1983   38  0.6749  0.0050  0.0459  0.0455  0.0556  0.04
Indjic 2001   32  0.6965  0.0041  0.0639  0.0661  0.0449  0.05
Katin 1996   29  0.7060  0.0038  0.0736  0.0758  0.0443  0.05
Kiepura 1999   59  0.4725  0.0058  0.0363  0.0346  0.0555  0.04
Korecka 1992   54  0.5733  0.0061  0.0449  0.0448  0.0561  0.04
Kushner 1990   57  0.5163  0.0045  0.0461  0.0458  0.0462  0.04
Lilamand 2001   47  0.6232  0.0040  0.0546  0.0536  0.0645  0.05
Luisada 1990   52  0.5836  0.0043  0.0547  0.0552  0.0547  0.05
Luisada 2008   55  0.5647  0.0057  0.0460  0.0456  0.0464  0.04
Lushtak 2004   37  0.6835  0.0034  0.0933  0.0938  0.0637  0.07
Malcuzynski 1951   26  0.7215  0.0114  0.0917  0.3247  0.0526  0.13
Malcuzynski 1961   45  0.6444  0.0023  0.0829  0.2146  0.0533  0.10
Magaloff 1977   48  0.6246  0.0056  0.0455  0.0453  0.0565  0.04
Magin 1975   46  0.6350  0.0055  0.0454  0.0435  0.0641  0.05
Meguri 1997   53  0.5721  0.0133  0.0835  0.0850  0.0539  0.06
Milkina 1970   6  0.799  0.0317  0.117  0.4639  0.0615  0.17
Mohovich 1999   3  0.8218  0.013  0.234  0.5427  0.205  0.33
Nezu 2005   44  0.6427  0.0030  0.0927  0.2246  0.0630  0.11
Ohlsson 1999   13  0.7413  0.0228  0.0828  0.2128  0.1813  0.19
Olejniczak 1990   39  0.6541  0.0046  0.0453  0.0438  0.0654  0.05
Osinska 1989   19  0.7319  0.0121  0.1113  0.3343  0.0620  0.14
Perlemuter 1992   41  0.6552  0.0059  0.0362  0.0336  0.0658  0.04
Poblocka 1999   11  0.7545  0.0022  0.1223  0.2845  0.0527  0.12
Rangell 2001   27  0.7131  0.0037  0.0934  0.0940  0.0638  0.07
Richter 1960   28  0.7126  0.0019  0.1015  0.3224  0.298  0.30
Richter 1961   20  0.7343  0.0015  0.1211  0.3731  0.1211  0.21
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   5  0.805  0.049  0.105  0.4724  0.254  0.34
Rubinstein 1952   30  0.7012  0.0211  0.1214  0.3235  0.0818  0.16
Rubinstein 1966   24  0.733  0.0910  0.0824  0.2736  0.0819  0.15
Rudanovskaya 2007   8  0.782  0.125  0.183  0.561  0.621  0.59
Shebanova 2002   7  0.7958  0.0016  0.1712  0.3654  0.0522  0.13
Smith 1975   25  0.7216  0.0132  0.0932  0.1725  0.2212  0.19
Sztompka 1959   43  0.6466  0.0054  0.0644  0.0642  0.0544  0.05
Tanyel 1992   12  0.7524  0.0012  0.0618  0.3134  0.1014  0.18
Tsujii 2005   4  0.824  0.074  0.152  0.6230  0.129  0.27
Uninsky 1959   23  0.7338  0.0035  0.0643  0.0646  0.0542  0.05
Vardi 1988   22  0.7328  0.0024  0.0821  0.2955  0.0528  0.12
Wasowski 1980   56  0.5654  0.0053  0.0545  0.0555  0.0457  0.04
Zimerman 1975   31  0.7029  0.0031  0.1130  0.2137  0.0729  0.12
Random 1   66  -0.0759  0.0066  0.0166  0.0120  0.2248  0.05
Random 2   64  0.0048  0.0064  0.0264  0.029  0.3935  0.09
Random 3   65  0.0056  0.0065  0.0265  0.022  0.5434  0.10

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).