Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8314  0.0011  0.098  0.4712  0.522  0.49
Ashkenazy 1981   15  0.794  0.0014  0.0717  0.3524  0.227  0.28
Beliavsky 2004   52  0.7127  0.0048  0.0638  0.0629  0.1834  0.10
BenOr 1989   11  0.802  0.008  0.124  0.5842  0.0615  0.19
Biret 1990   49  0.717  0.0054  0.0458  0.0461  0.0365  0.03
Blet 2003   7  0.8128  0.007  0.127  0.4820  0.205  0.31
Block 1995   56  0.6929  0.0057  0.0453  0.0448  0.0654  0.05
Brailowsky 1960   27  0.7730  0.0058  0.0542  0.0563  0.0358  0.04
Chiu 1999   50  0.7131  0.0031  0.0731  0.1435  0.1029  0.12
Clidat 1994   45  0.7332  0.0038  0.0545  0.0549  0.0552  0.05
Cohen 1997   47  0.7133  0.0053  0.0552  0.055  0.5419  0.16
Coop 1987   42  0.7334  0.0043  0.0546  0.0548  0.0651  0.05
Cortot 1951   17  0.7935  0.0056  0.0462  0.0442  0.0563  0.04
Czerny 1949   53  0.7036  0.0016  0.0618  0.3135  0.0721  0.15
Czerny 1949b   33  0.759  0.0017  0.0912  0.3840  0.0718  0.16
Ezaki 2006   25  0.7715  0.0022  0.0719  0.3049  0.0624  0.13
Falvay 1989   21  0.7837  0.009  0.1024  0.2543  0.0725  0.13
Ferenczy 1958   10  0.8116  0.0030  0.1026  0.2326  0.2312  0.23
Fiorentino 1962   37  0.7438  0.0033  0.0639  0.0645  0.0645  0.06
Fliere 1977   9  0.8117  0.002  0.263  0.6422  0.264  0.41
Fou 1978   20  0.7818  0.0013  0.0613  0.3734  0.0916  0.18
Francois 1956   44  0.7339  0.0035  0.0457  0.0428  0.1841  0.08
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1971   29  0.7619  0.0037  0.0456  0.0434  0.0846  0.06
Horowitz 1985   59  0.6340  0.0062  0.0634  0.0627  0.2032  0.11
Indjic 2001   1  1.001  1.001  0.981  1.001  1.001  1.00
Kapell 1951   32  0.7541  0.0044  0.0636  0.0646  0.0644  0.06
Kiepura 1999   23  0.7742  0.0050  0.0640  0.0653  0.0548  0.05
Kilenyi 1937   43  0.7320  0.0027  0.0623  0.2551  0.0630  0.12
Kissin 1993   8  0.8143  0.004  0.166  0.5243  0.0714  0.19
Kitain 1937   63  0.2344  0.0063  0.0547  0.0549  0.0555  0.05
Kushner 1990   34  0.755  0.0026  0.0625  0.2429  0.1417  0.18
Levy 1951   60  0.6310  0.0060  0.0637  0.0655  0.0450  0.05
Luisada 1990   35  0.7445  0.0045  0.0541  0.0540  0.0653  0.05
Lushtak 2004   16  0.7921  0.0019  0.1216  0.3554  0.0431  0.12
Lympany 1968   24  0.776  0.0036  0.0454  0.0452  0.0556  0.04
Magaloff 1977   13  0.8046  0.0028  0.0821  0.2935  0.0822  0.15
Magaloff 1977b   14  0.8047  0.0029  0.1222  0.2937  0.0823  0.15
Magin 1975   18  0.793  0.0024  0.0627  0.1745  0.0633  0.10
Milkina 1970   2  0.8722  0.0010  0.099  0.4615  0.423  0.44
Mohovich 1999   51  0.7111  0.0032  0.0632  0.1241  0.0738  0.09
Nadelmann 1956   31  0.7548  0.0023  0.0728  0.1618  0.3211  0.23
Ohlsson 1999   40  0.7449  0.0046  0.0635  0.0634  0.0842  0.07
Olejniczac 1990   36  0.7450  0.0025  0.0729  0.1547  0.0637  0.09
Olejniczak 1991   22  0.7751  0.0015  0.0620  0.3044  0.0820  0.15
Osinska 1989   5  0.8352  0.006  0.115  0.5634  0.109  0.24
Paderewski 1912   55  0.6953  0.0021  0.0730  0.1435  0.0736  0.10
Perahia 1994   58  0.668  0.0039  0.0461  0.0413  0.4027  0.13
Perlemuter 1986   38  0.7454  0.005  0.1510  0.4356  0.0426  0.13
Poblocka 1999   28  0.7655  0.0041  0.0459  0.0446  0.0649  0.05
Rangell 2001   30  0.7556  0.0040  0.0550  0.0539  0.0747  0.06
Risler 1920   61  0.6123  0.0059  0.0460  0.0446  0.0559  0.04
Rosen 1989   39  0.7424  0.0052  0.0544  0.0561  0.0462  0.04
Rubinstein 1939   57  0.6857  0.0055  0.0463  0.0428  0.1740  0.08
Rubinstein 1952   46  0.7225  0.0042  0.0551  0.0556  0.0464  0.04
Rubinstein 1966   12  0.8058  0.0049  0.0549  0.0563  0.0360  0.04
Rummel 1943   62  0.5859  0.0061  0.0455  0.0456  0.0461  0.04
Shebanova 2002   6  0.8160  0.0012  0.1111  0.4127  0.216  0.29
Smith 1975   26  0.7712  0.0018  0.1115  0.3532  0.1710  0.24
Szpilman 1948   48  0.7161  0.0034  0.0543  0.0557  0.0457  0.04
Uninsky 1971   19  0.7926  0.0020  0.1014  0.3622  0.218  0.27
Wasowski 1980   41  0.7362  0.0047  0.0548  0.0517  0.3028  0.12
Weissenberg 1971   54  0.6963  0.0051  0.0733  0.0746  0.0643  0.06
Average   3  0.8464  0.003  0.362  0.6835  0.0713  0.22
Random 1    66  -0.0665  0.0066  0.0166  0.0160  0.0266  0.01
Random 2   64  0.1113  0.0064  0.0464  0.0412  0.2635  0.10
Random 3   65  -0.0466  0.0065  0.0265  0.025  0.4239  0.09

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).