Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   33  0.5313  0.0114  0.1117  0.4448  0.0512  0.15
Ax 1995   51  0.4815  0.0138  0.0838  0.0860  0.0343  0.05
Bacha 1998   20  0.5855  0.0020  0.0818  0.3850  0.0514  0.14
Barbosa 1983   63  0.3152  0.0061  0.0365  0.0364  0.0360  0.03
BenOr 1989   30  0.5517  0.0131  0.0829  0.2264  0.0332  0.08
Biret 1990   3  0.654  0.083  0.198  0.5645  0.0510  0.17
Brailowsky 1960   43  0.5154  0.0046  0.0546  0.0559  0.0448  0.04
Chiu 1999   18  0.5836  0.0036  0.0841  0.0856  0.0435  0.06
Clidat 1994   34  0.5324  0.0127  0.0625  0.2865  0.0330  0.09
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   36  0.5319  0.0140  0.0839  0.0861  0.0344  0.05
Csalog 1996   21  0.5818  0.0116  0.1019  0.3761  0.0419  0.12
Czerny 1989   47  0.4926  0.0042  0.0742  0.0757  0.0441  0.05
Ezaki 2006   39  0.5340  0.0048  0.0451  0.0464  0.0358  0.03
Falvay 1989   16  0.5922  0.0117  0.0816  0.4451  0.0418  0.13
Fiorentino 1962   1  0.681  0.271  0.272  0.6733  0.144  0.31
Fliere 1977   31  0.5425  0.0143  0.0545  0.0564  0.0346  0.04
Fou 1978   26  0.578  0.039  0.1613  0.4752  0.066  0.17
Francois 1956   55  0.4750  0.0056  0.0460  0.0462  0.0364  0.03
Goldenweiser 1946   62  0.3362  0.0062  0.0461  0.0464  0.0359  0.03
Gornostaeva 1994   38  0.5341  0.0034  0.1134  0.1162  0.0339  0.06
Groot 1988   11  0.6137  0.0023  0.0826  0.2752  0.0522  0.12
Hatto 1993   49  0.4866  0.0051  0.0547  0.0559  0.0457  0.04
Hatto 1997   58  0.4565  0.0059  0.0457  0.0461  0.0453  0.04
Horszowski 1983   57  0.4647  0.0047  0.0548  0.0561  0.0445  0.04
Indjic 2001   56  0.4657  0.0058  0.0459  0.0463  0.0456  0.04
Katin 1996   7  0.633  0.0910  0.159  0.5653  0.057  0.17
Kiepura 1999   37  0.5327  0.0021  0.0723  0.3029  0.155  0.21
Korecka 1992   44  0.5145  0.0045  0.0840  0.0859  0.0436  0.06
Kushner 1990   52  0.4842  0.0026  0.0830  0.2148  0.0527  0.10
Lilamand 2001   61  0.4239  0.0052  0.0456  0.0459  0.0452  0.04
Luisada 1990   25  0.5759  0.0019  0.0815  0.4564  0.0320  0.12
Luisada 2008   28  0.5543  0.0022  0.0721  0.3262  0.0425  0.11
Lushtak 2004   2  0.657  0.034  0.141  0.6963  0.049  0.17
Malcuzynski 1951   64  0.2556  0.0064  0.0458  0.0464  0.0362  0.03
Malcuzynski 1961   46  0.5051  0.0033  0.0933  0.1758  0.0529  0.09
Magaloff 1977   42  0.5133  0.0055  0.0455  0.0460  0.0455  0.04
Magin 1975   45  0.5120  0.0144  0.0644  0.0661  0.0440  0.05
Meguri 1997   8  0.632  0.132  0.1611  0.5222  0.332  0.41
Milkina 1970   40  0.5261  0.0050  0.0550  0.0559  0.0451  0.04
Mohovich 1999   5  0.6312  0.017  0.173  0.6160  0.0316  0.14
Nezu 2005   14  0.6053  0.0015  0.1114  0.4664  0.0321  0.12
Ohlsson 1999   29  0.5546  0.0037  0.0936  0.0955  0.0437  0.06
Olejniczak 1990   9  0.6216  0.0112  0.1310  0.5361  0.0413  0.15
Osinska 1989   15  0.5921  0.0113  0.137  0.5662  0.0317  0.13
Perlemuter 1992   50  0.4835  0.0057  0.0454  0.0450  0.0447  0.04
Poblocka 1999   24  0.5729  0.0024  0.1122  0.3065  0.0328  0.09
Rangell 2001   22  0.5830  0.0030  0.0832  0.1964  0.0333  0.08
Richter 1960   27  0.5744  0.0035  0.1035  0.1053  0.0438  0.06
Richter 1961   12  0.6014  0.0118  0.0720  0.3237  0.0811  0.16
Rosen 1989   19  0.5810  0.0232  0.0831  0.1958  0.0431  0.09
Rubinstein 1939   54  0.4767  0.0049  0.0452  0.0460  0.0450  0.04
Rubinstein 1952   60  0.4263  0.0054  0.0362  0.0363  0.0463  0.03
Rubinstein 1966   23  0.5760  0.0029  0.0827  0.2548  0.0524  0.11
Rudanovskaya 2007   6  0.635  0.085  0.145  0.6017  0.351  0.46
Shebanova 2002   48  0.4958  0.0053  0.0453  0.0460  0.0454  0.04
Smith 1975   41  0.5232  0.0060  0.0549  0.0562  0.0449  0.04
Sztompka 1959   59  0.4364  0.0063  0.0363  0.0364  0.0265  0.02
Tanyel 1992   13  0.606  0.056  0.176  0.5829  0.213  0.35
Tsujii 2005   10  0.6134  0.0011  0.1412  0.5158  0.0415  0.14
Uninsky 1959   35  0.5328  0.0041  0.0643  0.0659  0.0442  0.05
Vardi 1988   53  0.4748  0.0039  0.0937  0.0949  0.0534  0.07
Wasowski 1980   32  0.5323  0.0128  0.0724  0.2862  0.0423  0.11
Zimerman 1975   17  0.5911  0.0225  0.1028  0.2447  0.0526  0.11
Average   4  0.659  0.038  0.184  0.6049  0.058  0.17
Random 1   66  -0.0138  0.0066  0.0266  0.0264  0.0266  0.02
Random 2   67  -0.0231  0.0067  0.0167  0.0164  0.0267  0.01
Random 3   65  0.0349  0.0065  0.0364  0.0357  0.0361  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).