Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5949  0.0026  0.0819  0.3436  0.0722  0.15
Ashkenazy 1981   21  0.5932  0.0030  0.0928  0.2057  0.0530  0.10
Beliavsky 2004   38  0.5636  0.0024  0.0725  0.2551  0.0527  0.11
BenOr 1989   10  0.6431  0.0018  0.1213  0.4948  0.0619  0.17
Biret 1990   17  0.6023  0.0016  0.0817  0.3845  0.0721  0.16
Blet 2003   30  0.5843  0.0035  0.0834  0.0860  0.0439  0.06
Block 1995   58  0.5135  0.0060  0.0642  0.0657  0.0449  0.05
Brailowsky 1960   37  0.5646  0.0039  0.0835  0.0856  0.0537  0.06
Chiu 1999   60  0.5018  0.0056  0.0645  0.0659  0.0442  0.05
Clidat 1994   22  0.5925  0.0036  0.0738  0.0761  0.0448  0.05
Cohen 1997   61  0.4937  0.0038  0.0639  0.0624  0.2229  0.11
Coop 1987   49  0.5424  0.0022  0.0730  0.1454  0.0631  0.09
Cortot 1951   48  0.5416  0.0057  0.0462  0.0448  0.0565  0.04
Czerny 1949   35  0.5758  0.0049  0.0546  0.0553  0.0647  0.05
Czerny 1949b   44  0.5541  0.0052  0.0555  0.0550  0.0644  0.05
Ezaki 2006   50  0.5440  0.0044  0.0547  0.0558  0.0541  0.05
Falvay 1989   52  0.5417  0.0054  0.0644  0.0660  0.0443  0.05
Ferenczy 1958   31  0.5738  0.0048  0.0549  0.0552  0.0546  0.05
Fiorentino 1962   41  0.5565  0.0046  0.0643  0.0662  0.0452  0.05
Fliere 1977   28  0.5856  0.0027  0.1023  0.3256  0.0524  0.13
Fou 1978   46  0.5459  0.0047  0.0460  0.0458  0.0456  0.04
Francois 1956   32  0.576  0.0131  0.0731  0.1426  0.2317  0.18
Hatto 1997   14  0.6127  0.007  0.1112  0.4931  0.169  0.28
Horowitz 1971   8  0.647  0.0114  0.1416  0.4529  0.216  0.31
Horowitz 1985   20  0.5928  0.0019  0.1021  0.349  0.513  0.42
Indjic 2001   13  0.6226  0.006  0.157  0.5531  0.168  0.30
Kapell 1951   56  0.5260  0.0050  0.0459  0.0461  0.0457  0.04
Kiepura 1999   23  0.5912  0.0037  0.0833  0.0863  0.0436  0.06
Kilenyi 1937   54  0.5334  0.0043  0.0557  0.0562  0.0458  0.04
Kissin 1993   27  0.5815  0.0011  0.138  0.5458  0.0520  0.16
Kitain 1937   63  0.3857  0.0063  0.0641  0.0656  0.0364  0.04
Kushner 1990   12  0.6313  0.0015  0.1415  0.4530  0.207  0.30
Levy 1951   36  0.5629  0.0021  0.0926  0.2330  0.1416  0.18
Luisada 1990   40  0.5653  0.0058  0.0463  0.0457  0.0562  0.04
Lushtak 2004   7  0.658  0.0110  0.1110  0.5129  0.205  0.32
Lympany 1968   19  0.5921  0.0029  0.0827  0.2038  0.0626  0.11
Magaloff 1977   42  0.5544  0.0053  0.0556  0.0561  0.0459  0.04
Magaloff 1977b   43  0.5547  0.0040  0.0552  0.0561  0.0463  0.04
Magin 1975   51  0.5420  0.0051  0.0461  0.0453  0.0555  0.04
Milkina 1970   3  0.682  0.283  0.493  0.6619  0.412  0.52
Mohovich 1999   2  0.703  0.182  0.342  0.7716  0.531  0.64
Nadelmann 1956   6  0.6533  0.0012  0.1411  0.5048  0.0618  0.17
Ohlsson 1999   53  0.5342  0.0034  0.0737  0.0741  0.0734  0.07
Olejniczac 1990   39  0.5662  0.0045  0.0553  0.0562  0.0460  0.04
Olejniczak 1991   33  0.5714  0.0032  0.0732  0.1356  0.0533  0.08
Osinska 1989   5  0.6639  0.008  0.125  0.6045  0.0812  0.22
Paderewski 1912   55  0.5351  0.0055  0.0550  0.0562  0.0461  0.04
Perahia 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1986   26  0.5845  0.0023  0.0718  0.3749  0.0523  0.14
Poblocka 1999   29  0.5822  0.0033  0.0836  0.0854  0.0538  0.06
Rangell 2001   45  0.5510  0.0042  0.0640  0.0654  0.0640  0.06
Risler 1920   62  0.4461  0.0062  0.0551  0.0562  0.0354  0.04
Rosen 1989   59  0.5164  0.0061  0.0548  0.0556  0.0550  0.05
Rubinstein 1939   24  0.5950  0.0020  0.1024  0.3028  0.1811  0.23
Rubinstein 1952   16  0.6130  0.0017  0.1020  0.3460  0.0425  0.12
Rubinstein 1966   11  0.639  0.015  0.216  0.5724  0.234  0.36
Rummel 1943   34  0.5754  0.0028  0.0829  0.1862  0.0335  0.07
Shebanova 2002   15  0.614  0.039  0.129  0.5332  0.1110  0.24
Smith 1975   4  0.6719  0.004  0.284  0.6646  0.0615  0.20
Szpilman 1948   57  0.5263  0.0059  0.0554  0.0559  0.0453  0.04
Uninsky 1971   25  0.5811  0.0025  0.0722  0.3357  0.0428  0.11
Wasowski 1980   9  0.645  0.0113  0.1314  0.4936  0.0814  0.20
Weissenberg 1971   47  0.5448  0.0041  0.0558  0.0560  0.0545  0.05
Average   1  0.701  0.401  0.401  0.8957  0.0513  0.21
Random 1    66  -0.0366  0.0065  0.0165  0.0159  0.0366  0.02
Random 2   64  0.0152  0.0064  0.0464  0.0430  0.2132  0.09
Random 3   65  -0.0255  0.0066  0.0166  0.0120  0.2551  0.05

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).