Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   16  0.653  0.0317  0.1114  0.553  0.666  0.60
Ax 1995   23  0.6340  0.0025  0.1124  0.3835  0.1234  0.21
Bacha 1998   49  0.5155  0.0051  0.0941  0.0932  0.2044  0.13
Barbosa 1983   31  0.6033  0.0038  0.0846  0.0823  0.2741  0.15
BenOr 1989   21  0.647  0.0124  0.1020  0.4724  0.3222  0.39
Biret 1990   42  0.5545  0.0041  0.1235  0.1233  0.1545  0.13
Brailowsky 1960   32  0.6052  0.0030  0.0930  0.2130  0.2232  0.21
Chiu 1999   51  0.4956  0.0047  0.0848  0.086  0.6231  0.22
Clidat 1994   38  0.562  0.099  0.1718  0.502  0.6010  0.55
Cohen 1997   61  0.3626  0.0063  0.0556  0.0530  0.1456  0.08
Cortot 1951   63  0.3459  0.0064  0.0555  0.0540  0.0757  0.06
Csalog 1996   45  0.5462  0.0048  0.0943  0.0935  0.0952  0.09
Czerny 1989   41  0.5646  0.0042  0.1334  0.1340  0.0849  0.10
Ezaki 2006   20  0.6414  0.0019  0.1421  0.4015  0.4817  0.44
Falvay 1989   2  0.7110  0.013  0.165  0.7224  0.4111  0.54
Fiorentino 1962   34  0.6031  0.0039  0.1137  0.1143  0.0951  0.10
Fliere 1977   48  0.5258  0.0046  0.0845  0.0831  0.1446  0.11
Fou 1978   19  0.6411  0.0112  0.1416  0.5321  0.4415  0.48
Francois 1956   37  0.5721  0.0028  0.0729  0.2210  0.4325  0.31
Goldenweiser 1946   58  0.3927  0.0059  0.0462  0.0459  0.0563  0.04
Gornostaeva 1994   55  0.4353  0.0053  0.0461  0.0439  0.0761  0.05
Groot 1988   47  0.5316  0.0049  0.1138  0.1146  0.0753  0.09
Hatto 1993   6  0.699  0.018  0.197  0.7010  0.654  0.67
Hatto 1997   3  0.704  0.035  0.242  0.759  0.691  0.72
Horszowski 1983   64  0.3230  0.0062  0.0364  0.0339  0.0562  0.04
Indjic 2001   5  0.6913  0.006  0.204  0.7411  0.653  0.69
Katin 1996   15  0.6525  0.0020  0.1017  0.5229  0.2921  0.39
Kiepura 1999   43  0.5565  0.0044  0.0752  0.0742  0.0954  0.08
Korecka 1992   52  0.4632  0.0052  0.1136  0.1137  0.1048  0.10
Kushner 1990   25  0.6235  0.0023  0.1323  0.3819  0.4320  0.40
Lilamand 2001   53  0.4417  0.0054  0.0463  0.048  0.5342  0.15
Luisada 1990   30  0.6157  0.0036  0.0942  0.0923  0.4637  0.20
Luisada 2008   33  0.6019  0.0032  0.0733  0.1520  0.5427  0.28
Lushtak 2004   13  0.6641  0.0014  0.119  0.6315  0.509  0.56
Malcuzynski 1951   12  0.6647  0.0018  0.1219  0.4835  0.1130  0.23
Malcuzynski 1961   14  0.6639  0.0016  0.1113  0.5632  0.1426  0.28
Magaloff 1977   60  0.3863  0.0060  0.0553  0.0554  0.0560  0.05
Magin 1975   24  0.6329  0.0027  0.1326  0.3722  0.3923  0.38
Meguri 1997   54  0.4366  0.0055  0.0459  0.0446  0.0565  0.04
Milkina 1970   4  0.7018  0.002  0.223  0.7515  0.495  0.61
Mohovich 1999   40  0.5642  0.0037  0.0850  0.0818  0.3539  0.17
Nezu 2005   8  0.6928  0.007  0.186  0.7110  0.742  0.72
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Olejniczak 1990   17  0.6448  0.0015  0.0915  0.5419  0.4316  0.48
Osinska 1989   27  0.6137  0.0033  0.0832  0.1537  0.1243  0.13
Perlemuter 1992   59  0.3849  0.0061  0.0554  0.0560  0.0464  0.04
Poblocka 1999   22  0.6443  0.0021  0.1325  0.3723  0.4718  0.42
Rangell 2001   46  0.5360  0.0050  0.0944  0.0919  0.4935  0.21
Richter 1960   56  0.4236  0.0058  0.0458  0.0436  0.0759  0.05
Richter 1961   62  0.3650  0.0057  0.0457  0.0439  0.0658  0.05
Rosen 1989   39  0.5644  0.0040  0.1039  0.1040  0.0755  0.08
Rubinstein 1939   36  0.5934  0.0034  0.0849  0.0826  0.4038  0.18
Rubinstein 1952   29  0.6154  0.0029  0.0928  0.2326  0.2729  0.25
Rubinstein 1966   26  0.6223  0.0031  0.0831  0.1928  0.2333  0.21
Rudanovskaya 2007   57  0.4151  0.0056  0.0460  0.0426  0.3247  0.11
Shebanova 2002   50  0.5112  0.0143  0.0851  0.0816  0.4836  0.20
Smith 1975   18  0.648  0.0126  0.1622  0.3914  0.4219  0.40
Sztompka 1959   44  0.5420  0.0045  0.0847  0.0828  0.3040  0.15
Tanyel 1992   10  0.6715  0.0013  0.1410  0.6319  0.4314  0.52
Tsujii 2005   7  0.695  0.024  0.228  0.6816  0.497  0.58
Uninsky 1959   11  0.6738  0.0011  0.1512  0.5914  0.538  0.56
Vardi 1988   28  0.6122  0.0022  0.1027  0.3129  0.3224  0.31
Wasowski 1980   35  0.5961  0.0035  0.0940  0.097  0.7028  0.25
Zimerman 1975   9  0.676  0.0110  0.1511  0.6118  0.4613  0.53
Average   1  0.791  0.701  0.691  0.8926  0.3312  0.54
Random 1   67  -0.0224  0.0067  0.0167  0.0145  0.0467  0.02
Random 2   65  0.0264  0.0065  0.0265  0.0210  0.5250  0.10
Random 3   66  0.0167  0.0066  0.0266  0.0236  0.0666  0.03

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).