Nadelmann 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.6619  0.0111  0.1124  0.2224  0.3319  0.27
Ashkenazy 1981   28  0.6763  0.0041  0.0643  0.0641  0.0754  0.06
Beliavsky 2004   58  0.5540  0.0050  0.0459  0.0428  0.1543  0.08
BenOr 1989   25  0.6815  0.0129  0.0821  0.2248  0.0640  0.11
Biret 1990   20  0.6834  0.0026  0.0720  0.2417  0.4117  0.31
Blet 2003   19  0.6925  0.0017  0.0816  0.3016  0.4015  0.35
Block 1995   59  0.5462  0.0060  0.0548  0.0550  0.0560  0.05
Brailowsky 1960   23  0.687  0.0345  0.0640  0.062  0.6824  0.20
Chiu 1999   56  0.5821  0.0152  0.0456  0.0454  0.0563  0.04
Clidat 1994   26  0.6738  0.0036  0.0550  0.0545  0.0659  0.05
Cohen 1997   61  0.4760  0.0061  0.0460  0.0420  0.3936  0.12
Coop 1987   40  0.656  0.0414  0.0725  0.1939  0.0734  0.12
Cortot 1951   60  0.5353  0.0062  0.0645  0.0642  0.0755  0.06
Czerny 1949   18  0.6929  0.0012  0.106  0.4626  0.2911  0.37
Czerny 1949b   17  0.6912  0.0110  0.105  0.4923  0.338  0.40
Ezaki 2006   38  0.6637  0.0033  0.0546  0.0552  0.0657  0.05
Falvay 1989   54  0.6033  0.0051  0.0552  0.0540  0.0947  0.07
Ferenczy 1958   55  0.5941  0.0053  0.0457  0.0424  0.3337  0.11
Fiorentino 1962   34  0.6656  0.0044  0.0933  0.0938  0.0845  0.08
Fliere 1977   4  0.725  0.055  0.204  0.5128  0.2710  0.37
Fou 1978   33  0.6652  0.0042  0.0641  0.0648  0.0751  0.06
Francois 1956   53  0.6055  0.0057  0.0642  0.0641  0.0656  0.06
Hatto 1997   42  0.6449  0.0034  0.0547  0.0521  0.3035  0.12
Horowitz 1971   16  0.6911  0.0221  0.0717  0.292  0.636  0.43
Horowitz 1985   32  0.6626  0.0035  0.0549  0.052  0.7025  0.19
Indjic 2001   43  0.6459  0.0038  0.0455  0.0421  0.3039  0.11
Kapell 1951   13  0.6917  0.017  0.097  0.4228  0.2914  0.35
Kiepura 1999   51  0.6236  0.0056  0.0553  0.0547  0.0658  0.05
Kilenyi 1937   22  0.6850  0.0023  0.0813  0.3332  0.2020  0.26
Kissin 1993   3  0.724  0.054  0.173  0.5632  0.1418  0.28
Kitain 1937   62  0.449  0.0358  0.0363  0.036  0.5532  0.13
Kushner 1990   2  0.773  0.062  0.332  0.6110  0.582  0.59
Levy 1951   47  0.6344  0.0039  0.0551  0.0517  0.4326  0.15
Luisada 1990   11  0.692  0.0615  0.0629  0.1431  0.1331  0.13
Lushtak 2004   30  0.6757  0.0037  0.0738  0.0747  0.0653  0.06
Lympany 1968   37  0.6623  0.0140  0.0737  0.0727  0.2529  0.13
Magaloff 1977   46  0.6361  0.0055  0.0644  0.0634  0.0848  0.07
Magaloff 1977b   50  0.6358  0.0054  0.0458  0.0442  0.0662  0.05
Magin 1975   21  0.6810  0.0224  0.0822  0.2238  0.0928  0.14
Milkina 1970   12  0.6924  0.0116  0.0615  0.3121  0.4112  0.36
Mohovich 1999   7  0.7046  0.003  0.1410  0.4010  0.564  0.47
Nadelmann 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   35  0.6616  0.0125  0.0823  0.2226  0.2323  0.22
Olejniczac 1990   27  0.6727  0.0027  0.0630  0.1335  0.1038  0.11
Olejniczak 1991   14  0.6943  0.0030  0.0727  0.1731  0.1427  0.15
Osinska 1989   1  0.781  0.441  0.431  0.7020  0.491  0.59
Paderewski 1912   45  0.6435  0.0048  0.0834  0.0852  0.0552  0.06
Perahia 1994   10  0.6930  0.0019  0.1114  0.336  0.655  0.46
Perlemuter 1986   9  0.708  0.038  0.099  0.4120  0.2816  0.34
Poblocka 1999   36  0.6647  0.0046  0.0736  0.0742  0.0746  0.07
Rangell 2001   48  0.6348  0.0047  0.0735  0.0737  0.0749  0.07
Risler 1920   41  0.6522  0.0143  0.0739  0.0732  0.2033  0.12
Rosen 1989   57  0.5731  0.0059  0.0461  0.0440  0.0761  0.05
Rubinstein 1939   31  0.6745  0.0032  0.0631  0.1211  0.4621  0.23
Rubinstein 1952   6  0.7032  0.0018  0.0811  0.3722  0.3513  0.36
Rubinstein 1966   5  0.7139  0.006  0.1212  0.359  0.469  0.40
Rummel 1943   15  0.6918  0.0122  0.0818  0.281  0.627  0.42
Shebanova 2002   29  0.6720  0.0128  0.0526  0.1858  0.0542  0.09
Smith 1975   24  0.6854  0.0020  0.0719  0.2626  0.1922  0.22
Szpilman 1948   8  0.7014  0.019  0.088  0.4115  0.583  0.49
Uninsky 1971   52  0.6113  0.0113  0.1128  0.1756  0.0444  0.08
Wasowski 1980   44  0.6442  0.0049  0.0454  0.0434  0.0950  0.06
Weissenberg 1971   49  0.6328  0.0031  0.0632  0.1239  0.0741  0.09
Random 1    64  -0.0364  0.0064  0.0264  0.0244  0.0365  0.02
Random 2   63  0.0651  0.0063  0.0462  0.0412  0.4130  0.13
Random 3   65  -0.0565  0.0065  0.0265  0.0241  0.0564  0.03

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).