Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.0867  0.0060  0.0452  0.0450  0.0657  0.05
Ax 1995   63  0.3516  0.0056  0.0459  0.0435  0.0758  0.05
Bacha 1998   48  0.5040  0.0044  0.0643  0.0614  0.3736  0.15
Barbosa 1983   57  0.4636  0.0016  0.1717  0.529  0.6016  0.56
BenOr 1989   14  0.6313  0.0118  0.1414  0.598  0.5813  0.58
Biret 1990   4  0.684  0.032  0.253  0.685  0.662  0.67
Brailowsky 1960   41  0.5324  0.0025  0.1223  0.406  0.6919  0.53
Chiu 1999   19  0.6125  0.0012  0.1613  0.596  0.6211  0.60
Clidat 1994   53  0.4856  0.0043  0.0546  0.0538  0.0749  0.06
Cohen 1997   62  0.4051  0.0057  0.0550  0.0517  0.5334  0.16
Cortot 1951   31  0.5829  0.0046  0.0638  0.0626  0.1942  0.11
Csalog 1996   6  0.6638  0.0010  0.227  0.6213  0.5117  0.56
Czerny 1989   15  0.6332  0.004  0.186  0.653  0.665  0.65
Ezaki 2006   40  0.5318  0.0028  0.0726  0.2524  0.3325  0.29
Falvay 1989   9  0.6519  0.0014  0.1816  0.5420  0.3524  0.43
Fiorentino 1962   16  0.6226  0.0020  0.1620  0.4813  0.4822  0.48
Fliere 1977   26  0.5857  0.0027  0.0828  0.1917  0.3627  0.26
Fou 1978   12  0.642  0.057  0.174  0.672  0.671  0.67
Francois 1956   42  0.5330  0.0055  0.0640  0.0619  0.5133  0.17
Goldenweiser 1946   34  0.5720  0.0036  0.0639  0.0627  0.2241  0.11
Gornostaeva 1994   52  0.4827  0.0034  0.0834  0.089  0.5730  0.21
Groot 1988   8  0.6514  0.018  0.175  0.675  0.629  0.64
Hatto 1993   27  0.5847  0.0038  0.0737  0.0735  0.0846  0.07
Hatto 1997   37  0.5464  0.0052  0.0363  0.0334  0.0756  0.05
Horszowski 1983   22  0.5934  0.0017  0.1218  0.506  0.6414  0.57
Indjic 2001   20  0.6049  0.0048  0.0451  0.0450  0.0564  0.04
Katin 1996   3  0.6928  0.009  0.192  0.694  0.633  0.66
Kiepura 1999   23  0.598  0.0121  0.1422  0.445  0.6918  0.55
Korecka 1992   32  0.589  0.0140  0.0457  0.0413  0.5837  0.15
Kushner 1990   49  0.5035  0.0033  0.0832  0.1515  0.4028  0.24
Lilamand 2001   47  0.5161  0.0030  0.0629  0.1831  0.2429  0.21
Luisada 1990   45  0.5254  0.0031  0.0633  0.1438  0.0744  0.10
Luisada 2008   58  0.4523  0.0051  0.0454  0.0459  0.0462  0.04
Lushtak 2004   28  0.5839  0.0024  0.1125  0.3126  0.2826  0.29
Malcuzynski 1951   61  0.4155  0.0064  0.0456  0.0451  0.0565  0.04
Malcuzynski 1961   25  0.5841  0.0019  0.1819  0.4916  0.4921  0.49
Magaloff 1977   46  0.5165  0.0050  0.0453  0.0448  0.0563  0.04
Magin 1975   24  0.5817  0.0013  0.178  0.615  0.6110  0.61
Meguri 1997   43  0.5258  0.0061  0.0364  0.0341  0.0661  0.04
Milkina 1970   5  0.685  0.0211  0.1410  0.604  0.706  0.65
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nezu 2005   21  0.5959  0.0047  0.0549  0.0536  0.0850  0.06
Ohlsson 1999   39  0.5360  0.0035  0.0735  0.0725  0.2838  0.14
Olejniczak 1990   13  0.6311  0.0122  0.1324  0.396  0.5523  0.46
Osinska 1989   17  0.6152  0.0029  0.0631  0.1628  0.2231  0.19
Perlemuter 1992   36  0.547  0.0142  0.0545  0.0515  0.4735  0.15
Poblocka 1999   30  0.5837  0.0045  0.0642  0.0655  0.0553  0.05
Rangell 2001   44  0.5262  0.0058  0.0461  0.0437  0.0759  0.05
Richter 1960   38  0.5322  0.0054  0.0544  0.0537  0.0655  0.05
Richter 1961   7  0.656  0.023  0.199  0.613  0.694  0.65
Rosen 1989   33  0.5845  0.0049  0.0460  0.0426  0.4339  0.13
Rubinstein 1939   51  0.4853  0.0039  0.0736  0.0732  0.1443  0.10
Rubinstein 1952   50  0.5042  0.0053  0.0458  0.0443  0.0660  0.05
Rubinstein 1966   10  0.6446  0.005  0.1815  0.5811  0.5615  0.57
Rudanovskaya 2007   2  0.723  0.046  0.1712  0.594  0.698  0.64
Shebanova 2002   11  0.6412  0.0115  0.1511  0.595  0.6012  0.59
Smith 1975   56  0.4663  0.0063  0.0455  0.0440  0.0754  0.05
Sztompka 1959   29  0.5833  0.0023  0.1221  0.467  0.6120  0.53
Tanyel 1992   60  0.4215  0.0059  0.0547  0.0533  0.1345  0.08
Tsujii 2005   18  0.6110  0.0126  0.0827  0.2240  0.0740  0.12
Uninsky 1959   35  0.5650  0.0037  0.0641  0.0635  0.0747  0.06
Vardi 1988   55  0.4721  0.0032  0.0630  0.1730  0.1732  0.17
Wasowski 1980   59  0.4331  0.0062  0.0462  0.0449  0.0652  0.05
Zimerman 1975   54  0.4748  0.0041  0.0548  0.0542  0.0751  0.06
Average   1  0.781  0.721  0.711  0.879  0.497  0.65
Random 1   66  0.0243  0.0067  0.0167  0.0137  0.0566  0.02
Random 2   65  0.0466  0.0065  0.0265  0.0226  0.1848  0.06
Random 3   67  -0.0344  0.0066  0.0266  0.0253  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).