Fiorentino 1962

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2813  0.019  0.1221  0.4114  0.5313  0.47
Ax 1995   52  0.4628  0.0037  0.0839  0.0819  0.4435  0.19
Bacha 1998   50  0.4714  0.0140  0.0741  0.0718  0.3137  0.15
Barbosa 1983   54  0.4512  0.0116  0.1019  0.4314  0.599  0.50
BenOr 1989   14  0.6225  0.0022  0.089  0.5120  0.4512  0.48
Biret 1990   19  0.5921  0.0023  0.0923  0.4014  0.4919  0.44
Brailowsky 1960   60  0.3944  0.0055  0.0554  0.0535  0.0946  0.07
Chiu 1999   44  0.5250  0.0052  0.0650  0.0640  0.0747  0.06
Clidat 1994   39  0.547  0.0238  0.1034  0.1024  0.3136  0.18
Cohen 1997   46  0.5130  0.0036  0.0840  0.081  0.7931  0.25
Cortot 1951   41  0.5356  0.0056  0.0458  0.0454  0.0464  0.04
Csalog 1996   27  0.5745  0.0032  0.0632  0.1451  0.0544  0.08
Czerny 1989   49  0.4942  0.0044  0.0643  0.0652  0.0554  0.05
Ezaki 2006   26  0.5716  0.0024  0.0925  0.3518  0.4025  0.37
Falvay 1989   7  0.6517  0.0014  0.108  0.5226  0.2426  0.35
Fiorentino 1962   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   23  0.5852  0.0028  0.0828  0.2011  0.4629  0.30
Fou 1978   13  0.629  0.026  0.175  0.5610  0.565  0.56
Francois 1956   62  0.3665  0.0067  0.0167  0.0160  0.0367  0.02
Goldenweiser 1946   31  0.5637  0.0043  0.0644  0.0634  0.0945  0.07
Gornostaeva 1994   55  0.4435  0.0042  0.0838  0.0817  0.4834  0.20
Groot 1988   11  0.6210  0.0111  0.1018  0.4321  0.3923  0.41
Hatto 1993   21  0.586  0.038  0.1211  0.4917  0.4614  0.47
Hatto 1997   32  0.5540  0.0039  0.0647  0.0637  0.0650  0.06
Horszowski 1983   30  0.5641  0.0019  0.1026  0.3416  0.5420  0.43
Indjic 2001   18  0.6026  0.0010  0.1215  0.4620  0.4318  0.44
Katin 1996   6  0.658  0.0213  0.096  0.5515  0.508  0.52
Kiepura 1999   2  0.693  0.062  0.372  0.731  0.851  0.79
Korecka 1992   20  0.5947  0.0031  0.0831  0.1712  0.6128  0.32
Kushner 1990   58  0.4262  0.0058  0.0555  0.0543  0.0656  0.05
Lilamand 2001   42  0.5343  0.0045  0.0936  0.0933  0.1939  0.13
Luisada 1990   36  0.545  0.057  0.1512  0.4819  0.4216  0.45
Luisada 2008   59  0.4161  0.0059  0.0552  0.0541  0.0658  0.05
Lushtak 2004   4  0.6711  0.015  0.193  0.673  0.663  0.66
Malcuzynski 1951   63  0.3359  0.0066  0.0266  0.0263  0.0266  0.02
Malcuzynski 1961   22  0.5824  0.0034  0.0645  0.0642  0.0649  0.06
Magaloff 1977   40  0.5457  0.0041  0.0935  0.0924  0.2338  0.14
Magin 1975   17  0.6119  0.0015  0.097  0.5411  0.507  0.52
Meguri 1997   10  0.6318  0.0029  0.0829  0.199  0.6027  0.34
Milkina 1970   8  0.6320  0.0025  0.1322  0.4016  0.4422  0.42
Mohovich 1999   15  0.6232  0.0018  0.0813  0.4820  0.4811  0.48
Nezu 2005   25  0.5746  0.0047  0.0551  0.0544  0.0659  0.05
Ohlsson 1999   48  0.5031  0.0051  0.0557  0.0545  0.0555  0.05
Olejniczak 1990   3  0.694  0.064  0.184  0.653  0.752  0.70
Osinska 1989   5  0.6636  0.0026  0.1324  0.4018  0.4721  0.43
Perlemuter 1992   51  0.4627  0.0064  0.0364  0.0350  0.0465  0.03
Poblocka 1999   24  0.5848  0.0035  0.0837  0.0830  0.1841  0.12
Rangell 2001   33  0.5560  0.0033  0.0633  0.1228  0.4132  0.22
Richter 1960   47  0.5066  0.0053  0.0646  0.0648  0.0557  0.05
Richter 1961   9  0.632  0.073  0.2414  0.485  0.616  0.54
Rosen 1989   35  0.5538  0.0050  0.0459  0.0440  0.0851  0.06
Rubinstein 1939   53  0.4534  0.0054  0.0648  0.0647  0.0553  0.05
Rubinstein 1952   57  0.4322  0.0057  0.0556  0.0548  0.0660  0.05
Rubinstein 1966   28  0.5723  0.0020  0.1316  0.4423  0.3424  0.39
Rudanovskaya 2007   16  0.6139  0.0030  0.0830  0.1725  0.2433  0.20
Shebanova 2002   45  0.5215  0.0049  0.0553  0.0560  0.0463  0.04
Smith 1975   56  0.4458  0.0062  0.0362  0.0351  0.0662  0.04
Sztompka 1959   43  0.5267  0.0048  0.0742  0.0731  0.1743  0.11
Tanyel 1992   37  0.5429  0.0027  0.1427  0.3313  0.6515  0.46
Tsujii 2005   12  0.6249  0.0021  0.0917  0.4431  0.1530  0.26
Uninsky 1959   34  0.5554  0.0046  0.0649  0.0638  0.0748  0.06
Vardi 1988   38  0.5463  0.0012  0.1010  0.517  0.654  0.58
Wasowski 1980   61  0.3955  0.0063  0.0460  0.0451  0.0561  0.04
Zimerman 1975   29  0.5733  0.0017  0.0820  0.4210  0.6010  0.50
Average   1  0.771  0.571  0.561  0.8223  0.2417  0.44
Random 1   65  0.1264  0.0060  0.0361  0.031  0.5640  0.13
Random 2   66  0.0851  0.0061  0.0363  0.033  0.5242  0.12
Random 3   67  0.0053  0.0065  0.0365  0.0329  0.1352  0.06

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).