Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2782  0.0069  0.0561  0.0568  0.0468  0.04
Anderszewski 2003   73  0.2432  0.0026  0.0830  0.2643  0.1929  0.22
Ashkenazy 1981   18  0.3912  0.0123  0.0924  0.4343  0.1821  0.28
Bacha 2000   66  0.2681  0.0070  0.0476  0.0470  0.0457  0.04
Badura 1965   75  0.2239  0.0074  0.0647  0.0686  0.0282  0.03
Barbosa 1983   25  0.3556  0.0018  0.1418  0.5437  0.2315  0.35
Biret 1990   28  0.3480  0.0042  0.0642  0.1351  0.0644  0.09
Blet 2003   24  0.3522  0.0041  0.0636  0.1839  0.2231  0.20
Block 1995   76  0.2274  0.0067  0.0475  0.0475  0.0383  0.03
Blumental 1952   30  0.3490  0.0034  0.0627  0.2849  0.0738  0.14
Boshniakovich 1969   20  0.389  0.0119  0.1616  0.5644  0.1322  0.27
Brailowsky 1960   82  0.1671  0.0086  0.0382  0.0373  0.0559  0.04
Bunin 1987   16  0.4023  0.0017  0.1712  0.657  0.607  0.62
Bunin 1987b   15  0.4117  0.0016  0.1611  0.655  0.596  0.62
Chiu 1999   22  0.3811  0.0121  0.0921  0.4732  0.2216  0.32
Cohen 1997   42  0.327  0.0136  0.0734  0.2032  0.4219  0.29
Cortot 1951   87  0.1064  0.0082  0.0287  0.0274  0.0390  0.02
Csalog 1996   49  0.3062  0.0047  0.0478  0.0461  0.0566  0.04
Czerny 1949   81  0.1977  0.0080  0.0479  0.0477  0.0380  0.03
Czerny 1990   17  0.4083  0.0020  0.1022  0.4642  0.1524  0.26
Duchoud 2007   44  0.3254  0.0045  0.0545  0.1030  0.3032  0.17
Ezaki 2006   74  0.2369  0.0075  0.0553  0.0574  0.0456  0.04
Falvay 1989   31  0.3449  0.0029  0.0929  0.2647  0.0639  0.12
Farrell 1958   50  0.3029  0.0039  0.0638  0.1540  0.1435  0.14
Ferenczy 1958   86  0.1384  0.0087  0.0383  0.0357  0.0667  0.04
Fliere 1977   8  0.4413  0.0010  0.168  0.6746  0.1023  0.26
Fou 1978   43  0.3268  0.0038  0.0640  0.1475  0.0346  0.06
Francois 1956   68  0.2547  0.0072  0.0558  0.0569  0.0475  0.04
Friedman 1923   60  0.2824  0.0061  0.0563  0.0546  0.0749  0.06
Friedman 1923b   54  0.2918  0.0046  0.0477  0.0456  0.0571  0.04
Friedman 1930   26  0.3416  0.0030  0.0733  0.2345  0.0837  0.14
Garcia 2007   1  0.551  0.711  0.701  0.871  0.881  0.87
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   77  0.2286  0.0058  0.0473  0.0471  0.0469  0.04
Gornostaeva 1994   55  0.2967  0.0068  0.0474  0.0488  0.0285  0.03
Groot 1988   6  0.442  0.057  0.1317  0.5525  0.3714  0.45
Harasiewicz 1955   46  0.3143  0.0051  0.0650  0.0661  0.0555  0.05
Hatto 1993   11  0.4336  0.004  0.185  0.7417  0.544  0.63
Hatto 1997   19  0.3914  0.008  0.1715  0.6221  0.4610  0.53
Horowitz 1949   29  0.3425  0.0037  0.0643  0.1240  0.2033  0.15
Indjic 1988   4  0.444  0.043  0.333  0.7513  0.623  0.68
Kapell 1951   10  0.4337  0.0012  0.1710  0.6723  0.3412  0.48
Kissin 1993   39  0.3231  0.0057  0.0649  0.0661  0.0648  0.06
Kushner 1989   5  0.4427  0.005  0.214  0.7418  0.518  0.61
Luisada 1991   7  0.4410  0.0113  0.1814  0.6316  0.519  0.57
Lushtak 2004   47  0.3085  0.0033  0.0632  0.2354  0.0542  0.11
Malcuzynski 1961   14  0.4120  0.0015  0.1413  0.6531  0.3313  0.46
Magaloff 1978   56  0.2841  0.0056  0.0552  0.0582  0.0361  0.04
Magin 1975   3  0.456  0.029  0.176  0.6915  0.565  0.62
Michalowski 1933   51  0.305  0.0240  0.0639  0.1424  0.3827  0.23
Milkina 1970   57  0.2844  0.0028  0.0831  0.2649  0.0836  0.14
Mohovich 1999   70  0.2587  0.0032  0.0735  0.1845  0.0841  0.12
Moravec 1969   52  0.2991  0.0063  0.0566  0.0579  0.0358  0.04
Morozova 2008   33  0.3350  0.0024  0.1023  0.4543  0.1425  0.25
Neighaus 1950   63  0.2652  0.0076  0.0559  0.0583  0.0373  0.04
Niedzielski 1931   72  0.2434  0.0077  0.0551  0.0577  0.0364  0.04
Ohlsson 1999   65  0.2670  0.0065  0.0555  0.0582  0.0365  0.04
Osinska 1989   58  0.2826  0.0031  0.0637  0.1662  0.0543  0.09
Pachmann 1927   61  0.2742  0.0062  0.0562  0.0549  0.0747  0.06
Paderewski 1930   45  0.3172  0.0044  0.0544  0.1221  0.4926  0.24
Perlemuter 1992   36  0.3373  0.0050  0.0557  0.0560  0.0550  0.05
Pierdomenico 2008   9  0.4319  0.006  0.287  0.672  0.712  0.69
Poblocka 1999   37  0.3330  0.0053  0.0568  0.0570  0.0460  0.04
Rabcewiczowa 1932   53  0.2953  0.0059  0.0556  0.0564  0.0551  0.05
Rachmaninoff 1923   48  0.3065  0.0060  0.0564  0.0573  0.0462  0.04
Rangell 2001   69  0.2540  0.0071  0.0560  0.0568  0.0472  0.04
Richter 1976   27  0.3438  0.0027  0.0826  0.3941  0.2020  0.28
Rosen 1989   67  0.2635  0.0066  0.0646  0.0687  0.0370  0.04
Rosenthal 1930   80  0.2061  0.0085  0.0288  0.0266  0.0481  0.03
Rosenthal 1931   88  0.1089  0.0088  0.0381  0.0380  0.0379  0.03
Rosenthal 1931b   85  0.1351  0.0084  0.0286  0.0264  0.0487  0.03
Rosenthal 1931c   83  0.1578  0.0083  0.0384  0.0383  0.0291  0.02
Rosenthal 1931d   84  0.1579  0.0081  0.0285  0.0272  0.0486  0.03
Rossi 2007   71  0.2528  0.0073  0.0648  0.0625  0.3534  0.14
Rubinstein 1939   64  0.2646  0.0052  0.0472  0.0469  0.0463  0.04
Rubinstein 1952   41  0.3258  0.0055  0.0567  0.0573  0.0374  0.04
Rubinstein 1966   32  0.348  0.0111  0.1919  0.5138  0.1618  0.29
Schilhawsky 1960   40  0.3221  0.0054  0.0471  0.0452  0.0653  0.05
Shebanova 2002   12  0.4333  0.0014  0.169  0.6730  0.3711  0.50
Smith 1975   78  0.2275  0.0079  0.0480  0.0483  0.0377  0.03
Sokolov 2002   79  0.2088  0.0078  0.0470  0.0485  0.0276  0.03
Sztompka 1959   23  0.3555  0.0035  0.0828  0.2758  0.0540  0.12
Tomsic 1995   21  0.3860  0.0025  0.0825  0.4231  0.2417  0.32
Uninsky 1932   38  0.3276  0.0049  0.0554  0.0550  0.0654  0.05
Uninsky 1971   59  0.2848  0.0064  0.0469  0.0481  0.0378  0.03
Wasowski 1980   13  0.4215  0.0022  0.1020  0.4944  0.1028  0.22
Zak 1937   34  0.3359  0.0048  0.0565  0.0562  0.0552  0.05
Zak 1951   35  0.3345  0.0043  0.0741  0.1364  0.0445  0.07
Average   2  0.523  0.042  0.442  0.8455  0.0630  0.22
Random 1   91  -0.0363  0.0089  0.0189  0.0145  0.0884  0.03
Random 2   89  0.0066  0.0091  0.0191  0.0162  0.0488  0.02
Random 3   90  -0.0357  0.0090  0.0190  0.0156  0.0389  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).