Clidat 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.6744  0.0040  0.0545  0.0520  0.3535  0.13
Ashkenazy 1981   26  0.7047  0.0029  0.0530  0.0948  0.0747  0.08
Beliavsky 2004   13  0.726  0.0111  0.189  0.503  0.613  0.55
BenOr 1989   6  0.7430  0.009  0.1311  0.4554  0.0625  0.16
Biret 1990   16  0.7143  0.0021  0.0820  0.2734  0.0926  0.16
Blet 2003   38  0.6758  0.0036  0.0551  0.0534  0.0950  0.07
Block 1995   22  0.7010  0.0130  0.0432  0.0827  0.2331  0.14
Brailowsky 1960   31  0.6915  0.0025  0.0625  0.143  0.659  0.30
Chiu 1999   20  0.708  0.0115  0.0816  0.3428  0.2310  0.28
Clidat 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   60  0.5659  0.0063  0.0543  0.0525  0.2142  0.10
Coop 1987   5  0.745  0.026  0.245  0.6035  0.1113  0.26
Cortot 1951   37  0.6716  0.0028  0.0529  0.097  0.5415  0.22
Czerny 1949   9  0.732  0.048  0.147  0.5724  0.367  0.45
Czerny 1949b   43  0.6636  0.0047  0.0640  0.0637  0.1044  0.08
Ezaki 2006   7  0.7322  0.0014  0.1414  0.3735  0.1116  0.20
Falvay 1989   3  0.743  0.035  0.213  0.6121  0.464  0.53
Ferenczy 1958   58  0.6048  0.0058  0.0459  0.0433  0.1055  0.06
Fiorentino 1962   30  0.6942  0.0024  0.0924  0.2039  0.0937  0.13
Fliere 1977   21  0.7052  0.0022  0.1121  0.2648  0.0638  0.12
Fou 1978   18  0.7149  0.0016  0.1015  0.3542  0.0822  0.17
Francois 1956   62  0.5561  0.0062  0.0552  0.0519  0.4232  0.14
Hatto 1997   55  0.6357  0.0056  0.0544  0.0538  0.0754  0.06
Horowitz 1971   44  0.6639  0.0039  0.0542  0.0512  0.5124  0.16
Horowitz 1985   61  0.5523  0.0061  0.0363  0.0330  0.1848  0.07
Indjic 2001   53  0.6465  0.0054  0.0460  0.0438  0.0762  0.05
Kapell 1951   11  0.7213  0.0012  0.1712  0.4339  0.0917  0.20
Kiepura 1999   48  0.6521  0.0057  0.0546  0.0536  0.0658  0.05
Kilenyi 1937   41  0.6740  0.0046  0.0831  0.0840  0.0945  0.08
Kissin 1993   2  0.7538  0.002  0.304  0.6026  0.298  0.42
Kitain 1937   63  0.519  0.0159  0.0362  0.034  0.5736  0.13
Kushner 1990   29  0.6911  0.0033  0.0549  0.0515  0.4629  0.15
Levy 1951   45  0.6555  0.0041  0.0457  0.0428  0.1543  0.08
Luisada 1990   32  0.6945  0.0050  0.0637  0.0643  0.0851  0.07
Lushtak 2004   24  0.7028  0.0023  0.0823  0.2118  0.3811  0.28
Lympany 1968   35  0.6846  0.0034  0.0454  0.0416  0.4333  0.13
Magaloff 1977   28  0.6941  0.0045  0.0636  0.0651  0.0656  0.06
Magaloff 1977b   27  0.6966  0.0031  0.0528  0.0938  0.0846  0.08
Magin 1975   25  0.7037  0.0044  0.0550  0.0537  0.1049  0.07
Milkina 1970   10  0.7327  0.0010  0.186  0.5713  0.552  0.56
Mohovich 1999   34  0.6812  0.0035  0.0641  0.0636  0.0657  0.06
Nadelmann 1956   36  0.6834  0.0037  0.0638  0.0641  0.0753  0.06
Ohlsson 1999   47  0.6525  0.0052  0.0548  0.0544  0.0659  0.05
Olejniczac 1990   23  0.7062  0.0020  0.1119  0.3038  0.0923  0.16
Olejniczak 1991   17  0.7150  0.0013  0.1713  0.4043  0.0919  0.19
Osinska 1989   4  0.7420  0.007  0.268  0.5534  0.1114  0.25
Paderewski 1912   56  0.6351  0.0042  0.0455  0.0425  0.2341  0.10
Perahia 1994   59  0.5917  0.0060  0.0461  0.0438  0.0761  0.05
Perlemuter 1986   52  0.6424  0.0051  0.0547  0.0522  0.3434  0.13
Poblocka 1999   12  0.7263  0.0018  0.0818  0.3038  0.0827  0.15
Rangell 2001   15  0.7131  0.0017  0.0817  0.3031  0.1318  0.20
Risler 1920   51  0.6535  0.0049  0.0734  0.0728  0.2730  0.14
Rosen 1989   42  0.6719  0.0048  0.0735  0.0713  0.5121  0.19
Rubinstein 1939   46  0.657  0.0126  0.0726  0.139  0.5712  0.27
Rubinstein 1952   33  0.6932  0.0027  0.0627  0.1232  0.1240  0.12
Rubinstein 1966   50  0.6529  0.0038  0.0639  0.0640  0.0560  0.05
Rummel 1943   57  0.6318  0.0032  0.0433  0.089  0.4720  0.19
Shebanova 2002   54  0.6333  0.0055  0.0458  0.0458  0.0564  0.04
Smith 1975   8  0.734  0.023  0.272  0.6710  0.471  0.56
Szpilman 1948   39  0.6754  0.0043  0.0453  0.0436  0.0852  0.06
Uninsky 1971   14  0.7114  0.004  0.2510  0.4912  0.485  0.48
Wasowski 1980   49  0.6556  0.0053  0.0456  0.0456  0.0563  0.04
Weissenberg 1971   19  0.7026  0.0019  0.0822  0.2638  0.0928  0.15
Average   1  0.831  0.781  0.771  0.8928  0.246  0.46
Random 1    64  0.0053  0.0064  0.0364  0.033  0.4939  0.12
Random 2   65  0.0060  0.0065  0.0265  0.0255  0.0365  0.02
Random 3   66  -0.0564  0.0066  0.0166  0.0138  0.0466  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).