Olejniczak 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   66  0.0666  0.0048  0.0834  0.0854  0.0543  0.06
Ax 1995   61  0.3765  0.0046  0.0545  0.0542  0.0653  0.05
Bacha 1998   44  0.4913  0.0132  0.0732  0.1327  0.2221  0.17
Barbosa 1983   60  0.3717  0.0012  0.1215  0.4030  0.1914  0.28
BenOr 1989   2  0.692  0.222  0.282  0.774  0.671  0.72
Biret 1990   27  0.5659  0.0025  0.0525  0.2440  0.0631  0.12
Brailowsky 1960   63  0.2822  0.0066  0.0166  0.0166  0.0266  0.01
Chiu 1999   33  0.5455  0.0042  0.0637  0.0644  0.0740  0.06
Clidat 1994   47  0.4712  0.0139  0.0550  0.0555  0.0551  0.05
Cohen 1997   48  0.4516  0.0022  0.0819  0.316  0.687  0.46
Cortot 1951   20  0.5936  0.0038  0.0543  0.0542  0.0554  0.05
Csalog 1996   23  0.5764  0.0024  0.0620  0.2947  0.0527  0.12
Czerny 1989   45  0.4857  0.0028  0.0629  0.1846  0.0536  0.09
Ezaki 2006   41  0.5060  0.0045  0.0548  0.0559  0.0455  0.04
Falvay 1989   11  0.6129  0.0034  0.0544  0.0563  0.0457  0.04
Fiorentino 1962   3  0.694  0.104  0.323  0.754  0.652  0.70
Fliere 1977   13  0.6128  0.0014  0.1213  0.4218  0.3510  0.38
Fou 1978   5  0.661  0.241  0.244  0.714  0.653  0.68
Francois 1956   56  0.4140  0.0067  0.0167  0.0164  0.0267  0.01
Goldenweiser 1946   30  0.5435  0.0050  0.0457  0.0442  0.0645  0.05
Gornostaeva 1994   51  0.4444  0.0027  0.0524  0.2515  0.4911  0.35
Groot 1988   17  0.599  0.027  0.138  0.5125  0.309  0.39
Hatto 1993   16  0.6032  0.0013  0.1411  0.4427  0.2313  0.32
Hatto 1997   19  0.5956  0.0020  0.1018  0.3144  0.0530  0.12
Horszowski 1983   15  0.615  0.055  0.345  0.614  0.654  0.63
Indjic 2001   6  0.667  0.039  0.137  0.5324  0.348  0.42
Katin 1996   7  0.6430  0.0015  0.1412  0.4436  0.0919  0.20
Kiepura 1999   32  0.5424  0.0029  0.0726  0.2121  0.3415  0.27
Korecka 1992   29  0.5426  0.0054  0.0455  0.0440  0.0646  0.05
Kushner 1990   54  0.4418  0.0052  0.0453  0.0446  0.0650  0.05
Lilamand 2001   35  0.5327  0.0023  0.0623  0.2645  0.0628  0.12
Luisada 1990   38  0.526  0.0311  0.1314  0.4033  0.1417  0.24
Luisada 2008   43  0.4921  0.0031  0.0927  0.1947  0.0533  0.10
Lushtak 2004   25  0.5720  0.0021  0.0821  0.2839  0.0724  0.14
Malcuzynski 1951   62  0.3434  0.0064  0.0264  0.0257  0.0465  0.03
Malcuzynski 1961   21  0.588  0.0210  0.1610  0.4531  0.1616  0.27
Magaloff 1977   28  0.5538  0.0018  0.1116  0.3821  0.2812  0.33
Magin 1975   50  0.4549  0.0051  0.0454  0.0458  0.0459  0.04
Meguri 1997   14  0.6141  0.0026  0.0531  0.1423  0.3318  0.21
Milkina 1970   10  0.6233  0.0035  0.0640  0.0649  0.0641  0.06
Mohovich 1999   9  0.6323  0.008  0.136  0.5524  0.396  0.46
Nezu 2005   12  0.6115  0.0033  0.0633  0.1140  0.0737  0.09
Ohlsson 1999   59  0.3867  0.0065  0.0363  0.0364  0.0363  0.03
Olejniczak 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   8  0.6461  0.0036  0.0636  0.0645  0.0638  0.06
Perlemuter 1992   36  0.5214  0.0055  0.0541  0.0530  0.1535  0.09
Poblocka 1999   26  0.5746  0.0041  0.0639  0.0637  0.0739  0.06
Rangell 2001   37  0.5210  0.0137  0.0638  0.0644  0.0644  0.06
Richter 1960   31  0.5442  0.0017  0.0822  0.2745  0.0529  0.12
Richter 1961   18  0.5919  0.006  0.199  0.4915  0.515  0.50
Rosen 1989   24  0.5731  0.0047  0.0835  0.0831  0.2125  0.13
Rubinstein 1939   58  0.4154  0.0062  0.0456  0.0464  0.0362  0.03
Rubinstein 1952   55  0.4363  0.0058  0.0459  0.0458  0.0461  0.04
Rubinstein 1966   39  0.5150  0.0019  0.1117  0.3644  0.0623  0.15
Rudanovskaya 2007   4  0.6711  0.0116  0.1130  0.1735  0.0634  0.10
Shebanova 2002   42  0.5037  0.0056  0.0546  0.0558  0.0460  0.04
Smith 1975   49  0.4547  0.0060  0.0458  0.0455  0.0558  0.04
Sztompka 1959   40  0.5162  0.0053  0.0460  0.0443  0.0649  0.05
Tanyel 1992   52  0.4439  0.0043  0.0549  0.0540  0.0842  0.06
Tsujii 2005   22  0.5853  0.0044  0.0542  0.0557  0.0552  0.05
Uninsky 1959   34  0.5351  0.0049  0.0552  0.0545  0.0547  0.05
Vardi 1988   53  0.4458  0.0040  0.0551  0.0544  0.0648  0.05
Wasowski 1980   57  0.4148  0.0059  0.0361  0.0355  0.0556  0.04
Zimerman 1975   46  0.4743  0.0030  0.0828  0.1834  0.1026  0.13
Average   1  0.753  0.213  0.321  0.7853  0.0520  0.20
Random 1   65  0.0925  0.0061  0.0362  0.036  0.4232  0.11
Random 2   64  0.1045  0.0057  0.0547  0.054  0.5122  0.16
Random 3   67  -0.0452  0.0063  0.0265  0.0235  0.0564  0.03

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).