Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.4734  0.0038  0.0734  0.2453  0.0542  0.11
Anderszewski 2003   80  0.2781  0.0082  0.0384  0.0383  0.0287  0.02
Ashkenazy 1981   16  0.5312  0.0315  0.1215  0.5127  0.3120  0.40
Bacha 2000   31  0.4539  0.0031  0.0929  0.373  0.5817  0.46
Badura 1965   73  0.3271  0.0072  0.0381  0.0363  0.0481  0.03
Barbosa 1983   4  0.5911  0.037  0.154  0.662  0.634  0.64
Biret 1990   21  0.4943  0.0018  0.1616  0.487  0.5612  0.52
Blet 2003   15  0.5333  0.0035  0.1030  0.3334  0.2331  0.28
Block 1995   67  0.3436  0.0074  0.0380  0.0361  0.0482  0.03
Blumental 1952   60  0.3730  0.0044  0.0444  0.0731  0.2141  0.12
Boshniakovich 1969   42  0.4264  0.0050  0.0473  0.0444  0.1154  0.07
Brailowsky 1960   40  0.4382  0.0053  0.0460  0.0430  0.2444  0.10
Bunin 1987   47  0.4229  0.0051  0.0470  0.0457  0.0574  0.04
Bunin 1987b   46  0.4241  0.0049  0.0468  0.0456  0.0567  0.04
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   68  0.3465  0.0069  0.0382  0.0339  0.1456  0.06
Cortot 1951   78  0.2948  0.0085  0.0467  0.0482  0.0384  0.03
Csalog 1996   48  0.4226  0.0036  0.0736  0.2014  0.5027  0.32
Czerny 1949   72  0.3266  0.0078  0.0378  0.0366  0.0379  0.03
Czerny 1990   20  0.5019  0.0123  0.0918  0.4833  0.2128  0.32
Duchoud 2007   17  0.529  0.0510  0.127  0.632  0.626  0.62
Ezaki 2006   43  0.4275  0.0056  0.0555  0.0569  0.0362  0.04
Falvay 1989   13  0.5378  0.0030  0.1321  0.4330  0.2030  0.29
Farrell 1958   28  0.4637  0.0041  0.0640  0.1712  0.4432  0.27
Ferenczy 1958   87  0.1651  0.0087  0.0287  0.0273  0.0388  0.02
Fliere 1977   2  0.624  0.072  0.162  0.697  0.613  0.65
Fou 1978   8  0.5723  0.0012  0.1510  0.5815  0.4513  0.51
Francois 1956   65  0.3576  0.0059  0.0462  0.0461  0.0477  0.04
Friedman 1923   79  0.2935  0.0077  0.0379  0.0326  0.2849  0.09
Friedman 1923b   75  0.3040  0.0076  0.0458  0.0427  0.2746  0.10
Friedman 1930   62  0.3721  0.0165  0.0647  0.0644  0.0853  0.07
Garcia 2007   77  0.2944  0.0075  0.0377  0.0332  0.2052  0.08
Garcia 2007b   66  0.3472  0.0070  0.0383  0.0318  0.3943  0.11
Gierzod 1998   69  0.3467  0.0066  0.0646  0.0671  0.0373  0.04
Gornostaeva 1994   49  0.4149  0.0064  0.0645  0.0650  0.0561  0.05
Groot 1988   26  0.4759  0.0020  0.0822  0.4234  0.2329  0.31
Harasiewicz 1955   24  0.4825  0.0043  0.0743  0.1352  0.0455  0.07
Hatto 1993   38  0.4345  0.0024  0.0728  0.3716  0.3624  0.36
Hatto 1997   56  0.3868  0.0027  0.0833  0.2429  0.2334  0.23
Horowitz 1949   22  0.4910  0.0414  0.1014  0.518  0.4914  0.50
Indjic 1988   52  0.4160  0.0019  0.0927  0.3919  0.3423  0.36
Kapell 1951   58  0.3827  0.0062  0.0456  0.0460  0.0466  0.04
Kissin 1993   23  0.4853  0.0029  0.1019  0.4432  0.2826  0.35
Kushner 1989   19  0.5020  0.0134  0.0832  0.2842  0.1335  0.19
Luisada 1991   12  0.5424  0.0017  0.1513  0.5312  0.4415  0.48
Lushtak 2004   18  0.5218  0.0133  0.0731  0.2958  0.0540  0.12
Malcuzynski 1961   39  0.4352  0.0042  0.0742  0.1567  0.0451  0.08
Magaloff 1978   33  0.4414  0.0116  0.1217  0.4825  0.2525  0.35
Magin 1975   55  0.3969  0.0039  0.0741  0.1542  0.1239  0.13
Michalowski 1933   64  0.3528  0.0054  0.0552  0.0540  0.1748  0.09
Milkina 1970   44  0.4273  0.0025  0.0825  0.4016  0.3722  0.38
Mohovich 1999   27  0.4686  0.0046  0.0469  0.0446  0.0660  0.05
Moravec 1969   57  0.3846  0.0032  0.0837  0.2039  0.1236  0.15
Morozova 2008   5  0.583  0.086  0.136  0.656  0.469  0.55
Neighaus 1950   9  0.558  0.059  0.178  0.6217  0.4610  0.53
Niedzielski 1931   70  0.3322  0.0045  0.0472  0.0425  0.2047  0.09
Ohlsson 1999   11  0.557  0.065  0.155  0.655  0.517  0.58
Osinska 1989   41  0.4361  0.0057  0.0553  0.0556  0.0558  0.05
Pachmann 1927   7  0.572  0.094  0.153  0.662  0.701  0.68
Paderewski 1930   74  0.3187  0.0061  0.0464  0.0473  0.0378  0.03
Perlemuter 1992   32  0.4577  0.0058  0.0549  0.0550  0.0557  0.05
Pierdomenico 2008   14  0.5331  0.0028  0.0923  0.415  0.5516  0.47
Poblocka 1999   53  0.4042  0.0037  0.0738  0.1860  0.0450  0.08
Rabcewiczowa 1932   71  0.3350  0.0073  0.0471  0.0466  0.0465  0.04
Rachmaninoff 1923   37  0.4313  0.0122  0.0720  0.4420  0.3818  0.41
Rangell 2001   36  0.4354  0.0026  0.0724  0.4011  0.4319  0.41
Richter 1976   30  0.4615  0.0121  0.0939  0.1843  0.1237  0.15
Rosen 1989   10  0.5517  0.0113  0.1312  0.5410  0.5111  0.52
Rosenthal 1930   85  0.2379  0.0083  0.0385  0.0378  0.0380  0.03
Rosenthal 1931   83  0.2483  0.0084  0.0457  0.0459  0.0471  0.04
Rosenthal 1931b   81  0.2584  0.0080  0.0475  0.0454  0.0576  0.04
Rosenthal 1931c   82  0.2562  0.0081  0.0376  0.0381  0.0385  0.03
Rosenthal 1931d   86  0.2288  0.0079  0.0459  0.0455  0.0475  0.04
Rossi 2007   84  0.2389  0.0086  0.0286  0.0284  0.0286  0.02
Rubinstein 1939   76  0.2916  0.0160  0.0463  0.0411  0.4338  0.13
Rubinstein 1952   50  0.4158  0.0040  0.0835  0.2023  0.3633  0.27
Rubinstein 1966   51  0.4156  0.0055  0.0548  0.0536  0.2145  0.10
Schilhawsky 1960   45  0.4247  0.0052  0.0461  0.0447  0.0659  0.05
Shebanova 2002   1  0.651  0.251  0.241  0.765  0.612  0.68
Smith 1975   34  0.4485  0.0063  0.0554  0.0577  0.0364  0.04
Sokolov 2002   63  0.3674  0.0067  0.0550  0.0566  0.0363  0.04
Sztompka 1959   59  0.3757  0.0071  0.0466  0.0458  0.0569  0.04
Tomsic 1995   54  0.3970  0.0048  0.0474  0.0462  0.0468  0.04
Uninsky 1932   35  0.4463  0.0047  0.0465  0.0475  0.0472  0.04
Uninsky 1971   61  0.3738  0.0068  0.0551  0.0559  0.0470  0.04
Wasowski 1980   29  0.465  0.068  0.1726  0.3913  0.4021  0.39
Zak 1937   3  0.596  0.063  0.139  0.613  0.635  0.62
Zak 1951   6  0.5732  0.0011  0.1711  0.566  0.578  0.56
Random 1   88  0.0255  0.0089  0.0189  0.0142  0.0983  0.03
Random 2   90  -0.0380  0.0088  0.0188  0.0157  0.0489  0.02
Random 3   89  0.0090  0.0090  0.0190  0.0162  0.0390  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).