Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   41  0.6723  0.0113  0.0714  0.2460  0.0523  0.11
Ax 1995   29  0.7145  0.0036  0.0645  0.0637  0.0743  0.06
Bacha 1998   49  0.658  0.0415  0.0626  0.1538  0.0629  0.09
Barbosa 1983   59  0.553  0.083  0.126  0.4324  0.322  0.37
BenOr 1989   53  0.6310  0.0310  0.0811  0.2832  0.165  0.21
Biret 1990   15  0.7348  0.0011  0.097  0.3654  0.0516  0.13
Brailowsky 1960   42  0.6764  0.0049  0.0556  0.0550  0.0545  0.05
Chiu 1999   47  0.6649  0.0057  0.0739  0.0745  0.0538  0.06
Clidat 1994   54  0.6133  0.0051  0.0648  0.0662  0.0454  0.05
Cohen 1997   62  0.5035  0.0064  0.0559  0.0558  0.0463  0.04
Cortot 1951   64  0.4663  0.0062  0.0462  0.0463  0.0366  0.03
Csalog 1996   30  0.7152  0.0048  0.0640  0.0637  0.0640  0.06
Czerny 1989   3  0.756  0.057  0.109  0.3231  0.126  0.20
Ezaki 2006   4  0.7517  0.0134  0.1034  0.1037  0.0632  0.08
Falvay 1989   24  0.7119  0.0117  0.0915  0.2360  0.0424  0.10
Fiorentino 1962   43  0.6741  0.0053  0.0555  0.0542  0.0655  0.05
Fliere 1977   37  0.6854  0.0039  0.0643  0.0664  0.0444  0.05
Fou 1978   50  0.6516  0.0122  0.0623  0.1854  0.0528  0.09
Francois 1956   61  0.5267  0.0063  0.0558  0.0553  0.0557  0.05
Goldenweiser 1946   39  0.675  0.058  0.0917  0.2315  0.373  0.29
Gornostaeva 1994   60  0.5521  0.0142  0.0644  0.0633  0.1331  0.09
Groot 1988   11  0.7427  0.0033  0.0633  0.1261  0.0436  0.07
Hatto 1993   10  0.7461  0.0024  0.0616  0.2340  0.0717  0.13
Hatto 1997   13  0.7453  0.0026  0.0618  0.2359  0.0521  0.11
Horszowski 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 2001   12  0.7465  0.0030  0.0625  0.1739  0.0722  0.11
Katin 1996   38  0.6829  0.0054  0.0737  0.0750  0.0539  0.06
Kiepura 1999   63  0.4843  0.0060  0.0463  0.0462  0.0458  0.04
Korecka 1992   34  0.6940  0.0043  0.0647  0.0627  0.2518  0.12
Kushner 1990   55  0.6114  0.0112  0.0720  0.2136  0.0525  0.10
Lilamand 2001   36  0.6813  0.0227  0.0532  0.1225  0.308  0.19
Luisada 1990   19  0.7226  0.0021  0.0612  0.2732  0.129  0.18
Luisada 2008   31  0.7056  0.0032  0.0629  0.1349  0.0534  0.08
Lushtak 2004   27  0.7151  0.0031  0.0621  0.2056  0.0526  0.10
Malcuzynski 1951   56  0.6059  0.0019  0.0630  0.1362  0.0437  0.07
Malcuzynski 1961   52  0.6311  0.024  0.125  0.4456  0.0511  0.15
Magaloff 1977   35  0.6942  0.0040  0.0835  0.0858  0.0541  0.06
Magin 1975   2  0.762  0.102  0.172  0.5924  0.271  0.40
Meguri 1997   25  0.7130  0.0028  0.0627  0.1452  0.0533  0.08
Milkina 1970   8  0.7432  0.0041  0.0646  0.0660  0.0449  0.05
Mohovich 1999   9  0.7460  0.0045  0.0554  0.0556  0.0462  0.04
Nezu 2005   48  0.6624  0.0023  0.0624  0.1853  0.0530  0.09
Ohlsson 1999   33  0.7031  0.0055  0.0649  0.0663  0.0361  0.04
Olejniczak 1990   21  0.7218  0.0125  0.0619  0.2354  0.0427  0.10
Osinska 1989   16  0.7358  0.009  0.083  0.4855  0.0510  0.15
Perlemuter 1992   5  0.759  0.0347  0.0552  0.0562  0.0459  0.04
Poblocka 1999   26  0.7137  0.0037  0.0553  0.0558  0.0546  0.05
Rangell 2001   23  0.7244  0.0035  0.0557  0.0548  0.0556  0.05
Richter 1960   57  0.6038  0.0058  0.0641  0.0650  0.0553  0.05
Richter 1961   58  0.5828  0.0059  0.0365  0.0343  0.0660  0.04
Rosen 1989   18  0.7246  0.0046  0.0836  0.0856  0.0442  0.06
Rubinstein 1939   46  0.6634  0.0052  0.0560  0.0544  0.0648  0.05
Rubinstein 1952   45  0.6622  0.0118  0.0728  0.1346  0.0535  0.08
Rubinstein 1966   20  0.7247  0.0038  0.0738  0.0763  0.0452  0.05
Rudanovskaya 2007   40  0.6715  0.0161  0.0461  0.0464  0.0365  0.03
Shebanova 2002   7  0.747  0.055  0.124  0.4457  0.0512  0.15
Smith 1975   32  0.7036  0.0050  0.0642  0.0659  0.0447  0.05
Sztompka 1959   14  0.7439  0.0029  0.0531  0.1333  0.1315  0.13
Tanyel 1992   22  0.724  0.0620  0.0622  0.1935  0.0719  0.12
Tsujii 2005   6  0.7512  0.026  0.128  0.3446  0.0614  0.14
Uninsky 1959   28  0.7125  0.0044  0.0651  0.0657  0.0450  0.05
Vardi 1988   51  0.6555  0.0056  0.0650  0.0655  0.0451  0.05
Wasowski 1980   44  0.6620  0.0114  0.0810  0.3033  0.127  0.19
Zimerman 1975   17  0.7250  0.0016  0.0813  0.2748  0.0520  0.12
Average   1  0.791  0.301  0.291  0.6739  0.074  0.22
Random 1   67  -0.1157  0.0067  0.0167  0.0145  0.0467  0.02
Random 2   66  -0.0562  0.0066  0.0266  0.0246  0.0464  0.03
Random 3   65  0.0866  0.0065  0.0464  0.041  0.5913  0.15

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).