Uninsky 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   39  0.7210  0.0117  0.0719  0.3139  0.0635  0.14
Ax 1995   15  0.816  0.039  0.1412  0.4332  0.1423  0.25
Bacha 1998   58  0.5952  0.0063  0.0638  0.0653  0.0455  0.05
Barbosa 1983   60  0.5821  0.0025  0.0723  0.2222  0.3820  0.29
BenOr 1989   62  0.5438  0.0050  0.0640  0.0626  0.2338  0.12
Biret 1990   28  0.7526  0.0022  0.0618  0.3118  0.3616  0.33
Brailowsky 1960   49  0.6765  0.0053  0.0459  0.0454  0.0459  0.04
Chiu 1999   32  0.7441  0.0037  0.0544  0.0514  0.4931  0.16
Clidat 1994   25  0.7611  0.0135  0.0551  0.0541  0.0750  0.06
Cohen 1997   50  0.6719  0.0149  0.0550  0.056  0.6030  0.17
Cortot 1951   64  0.3743  0.0064  0.0545  0.0521  0.2540  0.11
Csalog 1996   3  0.873  0.095  0.1811  0.511  0.595  0.55
Czerny 1989   33  0.7332  0.0056  0.0462  0.0436  0.0756  0.05
Ezaki 2006   19  0.7833  0.0036  0.0546  0.0545  0.0653  0.05
Falvay 1989   21  0.7712  0.0115  0.0929  0.1533  0.1136  0.13
Fiorentino 1962   29  0.7539  0.0034  0.0555  0.0540  0.0752  0.06
Fliere 1977   30  0.745  0.0344  0.0642  0.0648  0.0554  0.05
Fou 1978   46  0.6922  0.0043  0.0639  0.0645  0.0647  0.06
Francois 1956   35  0.7346  0.0038  0.0543  0.0519  0.4433  0.15
Goldenweiser 1946   38  0.7256  0.0046  0.0556  0.054  0.6626  0.18
Gornostaeva 1994   63  0.4727  0.0062  0.0460  0.0461  0.0462  0.04
Groot 1988   17  0.7955  0.0027  0.0722  0.2310  0.3122  0.27
Hatto 1993   16  0.8045  0.0010  0.185  0.5817  0.488  0.53
Hatto 1997   12  0.8124  0.0012  0.267  0.5717  0.496  0.53
Horszowski 1983   53  0.6661  0.0060  0.0364  0.0359  0.0463  0.03
Indjic 2001   14  0.8131  0.0011  0.236  0.5817  0.497  0.53
Katin 1996   20  0.7830  0.0031  0.0532  0.1131  0.2132  0.15
Kiepura 1999   61  0.5554  0.0051  0.0557  0.0515  0.3037  0.12
Korecka 1992   47  0.6863  0.0052  0.0552  0.0511  0.4234  0.14
Kushner 1990   56  0.6137  0.0026  0.0627  0.1614  0.3624  0.24
Lilamand 2001   7  0.854  0.044  0.168  0.561  0.703  0.63
Luisada 1990   48  0.6758  0.0055  0.0548  0.0529  0.1642  0.09
Luisada 2008   55  0.6217  0.0158  0.0461  0.0428  0.1644  0.08
Lushtak 2004   51  0.6748  0.0042  0.0553  0.0535  0.0751  0.06
Malcuzynski 1951   34  0.7340  0.0030  0.0628  0.1547  0.0543  0.09
Malcuzynski 1961   44  0.709  0.0116  0.0720  0.2832  0.1129  0.18
Magaloff 1977   45  0.6957  0.0045  0.0637  0.0633  0.1341  0.09
Magin 1975   26  0.7628  0.0033  0.0533  0.0918  0.3528  0.18
Meguri 1997   41  0.7235  0.0028  0.0630  0.1212  0.3225  0.20
Milkina 1970   13  0.8123  0.0013  0.2013  0.4219  0.4311  0.42
Mohovich 1999   9  0.822  0.132  0.169  0.5413  0.459  0.49
Nezu 2005   52  0.6651  0.0039  0.0834  0.0835  0.0945  0.08
Ohlsson 1999   1  0.911  0.461  0.451  0.721  0.731  0.72
Olejniczak 1990   40  0.7249  0.0018  0.0721  0.2813  0.4115  0.34
Osinska 1989   27  0.7659  0.0040  0.0736  0.0736  0.0846  0.07
Perlemuter 1992   18  0.7960  0.0023  0.0624  0.191  0.6414  0.35
Poblocka 1999   22  0.7729  0.0024  0.0625  0.1831  0.1827  0.18
Rangell 2001   23  0.7742  0.0032  0.0631  0.1133  0.1339  0.12
Richter 1960   57  0.6136  0.0059  0.0554  0.0560  0.0461  0.04
Richter 1961   54  0.6353  0.0057  0.0458  0.0446  0.0560  0.04
Rosen 1989   37  0.7314  0.0147  0.0547  0.0544  0.0657  0.05
Rubinstein 1939   24  0.7620  0.0119  0.0716  0.3326  0.2519  0.29
Rubinstein 1952   36  0.738  0.0220  0.0617  0.3316  0.4413  0.38
Rubinstein 1966   43  0.7144  0.0048  0.0549  0.0540  0.0749  0.06
Rudanovskaya 2007   11  0.8150  0.0029  0.0726  0.1713  0.4921  0.29
Shebanova 2002   8  0.8316  0.0114  0.2114  0.4125  0.2317  0.31
Smith 1975   2  0.8815  0.013  0.183  0.602  0.712  0.65
Sztompka 1959   6  0.8618  0.016  0.2210  0.532  0.654  0.59
Tanyel 1992   10  0.8125  0.0021  0.0715  0.3825  0.2418  0.30
Tsujii 2005   5  0.867  0.028  0.144  0.5825  0.2712  0.40
Uninsky 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Vardi 1988   31  0.7434  0.0041  0.0735  0.0738  0.0648  0.06
Wasowski 1980   59  0.5962  0.0061  0.0363  0.0359  0.0464  0.03
Zimerman 1975   42  0.7147  0.0054  0.0641  0.0650  0.0558  0.05
Average   4  0.8713  0.017  0.292  0.6725  0.2910  0.44
Random 1   66  -0.0666  0.0066  0.0266  0.0238  0.0566  0.03
Random 2   65  -0.0667  0.0065  0.0265  0.0235  0.0665  0.03
Random 3   67  -0.1464  0.0067  0.0167  0.0160  0.0367  0.02

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).