Horowitz 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.3210  0.0155  0.0553  0.0530  0.1146  0.07
Ashkenazy 1981   61  0.2245  0.0061  0.0460  0.0458  0.0462  0.04
Beliavsky 2004   59  0.2746  0.0049  0.0641  0.0627  0.1839  0.10
BenOr 1989   23  0.4135  0.0026  0.0827  0.2641  0.0832  0.14
Biret 1990   14  0.4514  0.0117  0.1214  0.479  0.4217  0.44
Blet 2003   55  0.3028  0.0046  0.0461  0.0453  0.0560  0.04
Block 1995   19  0.437  0.0215  0.1117  0.3722  0.2623  0.31
Brailowsky 1960   6  0.5018  0.006  0.145  0.6122  0.496  0.55
Chiu 1999   43  0.3529  0.0048  0.0543  0.0529  0.1441  0.08
Clidat 1994   9  0.4832  0.0016  0.0916  0.4410  0.4812  0.46
Cohen 1997   62  0.1754  0.0062  0.0547  0.0540  0.0750  0.06
Coop 1987   41  0.3538  0.0047  0.0454  0.0447  0.0559  0.04
Cortot 1951   39  0.3527  0.0043  0.0455  0.0417  0.4733  0.14
Czerny 1949   4  0.5223  0.004  0.198  0.5515  0.4810  0.51
Czerny 1949b   8  0.4822  0.0011  0.136  0.5610  0.634  0.59
Ezaki 2006   16  0.4436  0.0021  0.0923  0.3227  0.4120  0.36
Falvay 1989   47  0.3359  0.0053  0.0456  0.0461  0.0458  0.04
Ferenczy 1958   30  0.388  0.0119  0.1120  0.3628  0.3021  0.33
Fiorentino 1962   45  0.3342  0.0045  0.0550  0.0543  0.0851  0.06
Fliere 1977   49  0.3352  0.0052  0.0459  0.0445  0.0556  0.04
Fou 1978   54  0.3125  0.0054  0.0458  0.0439  0.0753  0.05
Francois 1956   42  0.3551  0.0051  0.0935  0.0928  0.2034  0.13
Hatto 1997   48  0.3362  0.0032  0.1030  0.1934  0.1031  0.14
Horowitz 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1985   1  0.621  0.391  0.391  0.821  0.861  0.84
Indjic 2001   51  0.3230  0.0034  0.0738  0.0731  0.1837  0.11
Kapell 1951   56  0.2960  0.0057  0.0545  0.0541  0.0748  0.06
Kiepura 1999   5  0.5131  0.0010  0.1310  0.5313  0.508  0.51
Kilenyi 1937   32  0.3721  0.0030  0.0932  0.1725  0.2728  0.21
Kissin 1993   24  0.4137  0.0031  0.0831  0.1722  0.4224  0.27
Kitain 1937   33  0.3713  0.0125  0.0825  0.293  0.7014  0.45
Kushner 1990   50  0.3353  0.0041  0.0548  0.0537  0.0749  0.06
Levy 1951   34  0.3741  0.0044  0.0552  0.0533  0.0945  0.07
Luisada 1990   21  0.4224  0.0024  0.1029  0.2023  0.2826  0.24
Lushtak 2004   20  0.4255  0.0014  0.1113  0.4815  0.4116  0.44
Lympany 1968   25  0.4016  0.0020  0.0918  0.3712  0.5315  0.44
Magaloff 1977   44  0.3548  0.0050  0.0737  0.0731  0.1735  0.11
Magaloff 1977b   57  0.2858  0.0059  0.0546  0.0557  0.0461  0.04
Magin 1975   18  0.4317  0.0023  0.0828  0.2531  0.1827  0.21
Milkina 1970   36  0.3611  0.0118  0.1022  0.3435  0.0930  0.17
Mohovich 1999   22  0.4139  0.0029  0.0924  0.3019  0.4619  0.37
Nadelmann 1956   10  0.4820  0.008  0.124  0.6316  0.3018  0.43
Ohlsson 1999   28  0.3919  0.0028  0.0826  0.2823  0.2525  0.26
Olejniczac 1990   37  0.3643  0.0042  0.0549  0.0531  0.1740  0.09
Olejniczak 1991   35  0.3640  0.0040  0.0739  0.0739  0.0942  0.08
Osinska 1989   27  0.4015  0.0033  0.0933  0.0949  0.0644  0.07
Paderewski 1912   40  0.3526  0.0037  0.0542  0.0527  0.2536  0.11
Perahia 1994   3  0.552  0.302  0.323  0.724  0.683  0.70
Perlemuter 1986   31  0.3763  0.0039  0.0551  0.0556  0.0554  0.05
Poblocka 1999   2  0.573  0.093  0.492  0.804  0.712  0.75
Rangell 2001   38  0.3534  0.0035  0.0836  0.0831  0.1438  0.11
Risler 1920   53  0.3161  0.0056  0.0457  0.0434  0.0752  0.05
Rosen 1989   58  0.2733  0.0058  0.0544  0.0536  0.1243  0.08
Rubinstein 1939   29  0.3957  0.0038  0.0640  0.0639  0.0647  0.06
Rubinstein 1952   46  0.3344  0.0036  0.0934  0.0962  0.0355  0.05
Rubinstein 1966   26  0.4012  0.0127  0.0819  0.3634  0.0929  0.18
Rummel 1943   11  0.479  0.0112  0.1612  0.512  0.567  0.53
Shebanova 2002   12  0.475  0.049  0.137  0.5620  0.469  0.51
Smith 1975   15  0.4549  0.0022  0.0921  0.3515  0.3022  0.32
Szpilman 1948   60  0.2565  0.0060  0.0462  0.0453  0.0557  0.04
Uninsky 1971   13  0.466  0.0213  0.139  0.547  0.585  0.56
Wasowski 1980   7  0.504  0.045  0.1611  0.5211  0.4611  0.49
Weissenberg 1971   17  0.4347  0.007  0.1215  0.457  0.4513  0.45
Random 1    65  -0.0464  0.0065  0.0265  0.0254  0.0365  0.02
Random 2   64  -0.0150  0.0063  0.0263  0.0246  0.0563  0.03
Random 3   63  0.0056  0.0064  0.0264  0.0245  0.0464  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).