Bacha 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   42  0.6659  0.0029  0.0928  0.2437  0.0635  0.12
Ax 1995   45  0.6527  0.0037  0.0837  0.0827  0.1736  0.12
Bacha 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   56  0.5817  0.0136  0.0836  0.0831  0.1339  0.10
BenOr 1989   49  0.6350  0.0058  0.0639  0.0648  0.0556  0.05
Biret 1990   2  0.778  0.024  0.174  0.5913  0.444  0.51
Brailowsky 1960   30  0.7131  0.0020  0.0630  0.2011  0.5117  0.32
Chiu 1999   41  0.6719  0.0142  0.0460  0.0428  0.1444  0.07
Clidat 1994   32  0.7021  0.0119  0.0819  0.3315  0.4713  0.39
Cohen 1997   57  0.5830  0.0056  0.0549  0.0517  0.3830  0.14
Cortot 1951   48  0.6357  0.0048  0.0459  0.046  0.4432  0.13
Csalog 1996   39  0.6746  0.0040  0.0453  0.0447  0.0651  0.05
Czerny 1989   47  0.6466  0.0043  0.0551  0.0555  0.0458  0.04
Ezaki 2006   59  0.5651  0.0061  0.0462  0.0461  0.0364  0.03
Falvay 1989   1  0.791  0.291  0.285  0.5719  0.375  0.46
Fiorentino 1962   20  0.7315  0.0127  0.0824  0.2719  0.3321  0.30
Fliere 1977   18  0.7316  0.0133  0.1133  0.1132  0.1334  0.12
Fou 1978   29  0.7112  0.0128  0.1017  0.3433  0.0926  0.17
Francois 1956   53  0.6247  0.0054  0.0458  0.0424  0.2142  0.09
Goldenweiser 1946   62  0.5260  0.0051  0.0548  0.0556  0.0457  0.04
Gornostaeva 1994   46  0.6444  0.0052  0.0550  0.0543  0.0555  0.05
Groot 1988   10  0.7513  0.0126  0.0722  0.3241  0.0729  0.15
Hatto 1993   3  0.777  0.026  0.168  0.5213  0.532  0.52
Hatto 1997   5  0.7641  0.008  0.1610  0.5119  0.426  0.46
Horszowski 1983   55  0.5939  0.0039  0.0545  0.0547  0.0548  0.05
Indjic 2001   4  0.7723  0.007  0.189  0.5214  0.503  0.51
Katin 1996   14  0.7561  0.0025  0.0625  0.2733  0.1127  0.17
Kiepura 1999   54  0.6154  0.0055  0.0454  0.0421  0.2637  0.10
Korecka 1992   16  0.7355  0.0024  0.0618  0.3414  0.3715  0.35
Kushner 1990   44  0.6511  0.0117  0.1126  0.2518  0.3322  0.29
Lilamand 2001   63  0.3952  0.0063  0.0363  0.0364  0.0265  0.02
Luisada 1990   11  0.754  0.075  0.163  0.6022  0.328  0.44
Luisada 2008   9  0.7514  0.0111  0.1013  0.4817  0.3212  0.39
Lushtak 2004   38  0.6736  0.0053  0.0641  0.0653  0.0453  0.05
Malcuzynski 1951   61  0.5418  0.0144  0.0461  0.0455  0.0562  0.04
Malcuzynski 1961   21  0.7242  0.0016  0.1212  0.4831  0.1324  0.25
Magaloff 1977   37  0.6724  0.0047  0.0457  0.0434  0.0752  0.05
Magin 1975   24  0.7229  0.0034  0.1034  0.1041  0.0643  0.08
Meguri 1997   50  0.6322  0.0059  0.0546  0.0554  0.0550  0.05
Milkina 1970   36  0.6858  0.0038  0.0838  0.0837  0.0645  0.07
Mohovich 1999   25  0.7245  0.0021  0.0721  0.3327  0.2223  0.27
Nezu 2005   15  0.7410  0.0114  0.1514  0.4715  0.419  0.44
Ohlsson 1999   7  0.765  0.0610  0.186  0.5624  0.2614  0.38
Olejniczak 1990   33  0.6825  0.0049  0.0452  0.0452  0.0563  0.04
Osinska 1989   17  0.7364  0.0022  0.0820  0.3349  0.0531  0.13
Perlemuter 1992   52  0.6226  0.0045  0.0543  0.0542  0.0549  0.05
Poblocka 1999   6  0.7633  0.009  0.1811  0.4914  0.3710  0.43
Rangell 2001   60  0.5565  0.0062  0.0456  0.0459  0.0461  0.04
Richter 1960   27  0.719  0.0218  0.0923  0.3114  0.3916  0.35
Richter 1961   28  0.716  0.0515  0.1316  0.379  0.5011  0.43
Rosen 1989   51  0.6262  0.0041  0.0455  0.0450  0.0559  0.04
Rubinstein 1939   8  0.763  0.073  0.231  0.704  0.611  0.65
Rubinstein 1952   19  0.732  0.232  0.222  0.6014  0.357  0.46
Rubinstein 1966   13  0.7538  0.0013  0.137  0.5437  0.0725  0.19
Rudanovskaya 2007   43  0.6653  0.0057  0.0542  0.0526  0.1740  0.09
Shebanova 2002   23  0.7232  0.0023  0.0731  0.1832  0.1328  0.15
Smith 1975   34  0.6828  0.0046  0.0547  0.0530  0.1938  0.10
Sztompka 1959   35  0.6820  0.0150  0.0544  0.0536  0.0747  0.06
Tanyel 1992   58  0.5748  0.0060  0.0640  0.0644  0.0554  0.05
Tsujii 2005   26  0.7137  0.0035  0.1035  0.1046  0.0546  0.07
Uninsky 1959   12  0.7535  0.0012  0.1115  0.4628  0.2218  0.32
Vardi 1988   40  0.6756  0.0031  0.1029  0.2016  0.4420  0.30
Wasowski 1980   31  0.7043  0.0032  0.0932  0.1733  0.0933  0.12
Zimerman 1975   22  0.7249  0.0030  0.1027  0.2523  0.3819  0.31
Random 1   65  0.0234  0.0065  0.0265  0.026  0.4341  0.09
Random 2   66  0.0063  0.0066  0.0166  0.0153  0.0366  0.02
Random 3   64  0.0840  0.0064  0.0364  0.0334  0.0560  0.04
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).