Tsujii 2005

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   40  0.7414  0.013  0.1110  0.4910  0.5110  0.50
Ax 1995   58  0.6829  0.0045  0.0463  0.0415  0.3545  0.12
Bacha 1998   49  0.7127  0.0049  0.0547  0.0536  0.1058  0.07
Barbosa 1983   62  0.6346  0.0054  0.0637  0.0628  0.2249  0.11
BenOr 1989   17  0.8112  0.0120  0.0814  0.447  0.638  0.53
Biret 1990   2  0.838  0.016  0.163  0.616  0.594  0.60
Brailowsky 1960   56  0.6950  0.0058  0.0460  0.0433  0.1457  0.07
Chiu 1999   45  0.737  0.0146  0.0459  0.0426  0.1655  0.08
Clidat 1994   51  0.7043  0.0039  0.0544  0.0522  0.4237  0.14
Cohen 1997   64  0.6147  0.0056  0.0458  0.0412  0.5139  0.14
Cortot 1951   50  0.7131  0.0055  0.0639  0.062  0.5434  0.18
Csalog 1996   22  0.8037  0.0029  0.0626  0.2520  0.3924  0.31
Czerny 1989   47  0.7264  0.0047  0.0461  0.0425  0.3444  0.12
Ezaki 2006   38  0.7559  0.0057  0.0449  0.0411  0.3942  0.12
Falvay 1989   3  0.8317  0.0014  0.115  0.5918  0.3914  0.48
Fiorentino 1962   4  0.8321  0.009  0.1111  0.464  0.617  0.53
Fliere 1977   23  0.7955  0.0041  0.0462  0.0426  0.2052  0.09
Fou 1978   43  0.7332  0.0021  0.0925  0.2721  0.2432  0.25
Francois 1956   55  0.6939  0.0063  0.0453  0.0428  0.1856  0.08
Goldenweiser 1946   52  0.7025  0.0050  0.0448  0.0417  0.3047  0.11
Gornostaeva 1994   44  0.7335  0.0051  0.0542  0.0519  0.4140  0.14
Groot 1988   5  0.8222  0.0015  0.0818  0.3928  0.1831  0.26
Hatto 1993   30  0.7830  0.0043  0.0543  0.0539  0.0861  0.06
Hatto 1997   32  0.7816  0.0137  0.0636  0.0632  0.1353  0.09
Horszowski 1983   60  0.6767  0.0048  0.0457  0.0453  0.0564  0.04
Indjic 2001   27  0.7856  0.0042  0.0454  0.0445  0.0763  0.05
Katin 1996   7  0.8211  0.0130  0.0823  0.2821  0.3226  0.30
Kiepura 1999   63  0.6362  0.0060  0.0452  0.0424  0.2151  0.09
Korecka 1992   41  0.7448  0.0053  0.0450  0.0423  0.2948  0.11
Kushner 1990   48  0.7120  0.0018  0.0821  0.3110  0.5518  0.41
Lilamand 2001   59  0.6765  0.0059  0.0464  0.0419  0.3050  0.11
Luisada 1990   6  0.825  0.012  0.362  0.665  0.603  0.63
Luisada 2008   35  0.7641  0.0025  0.0722  0.2924  0.2329  0.26
Lushtak 2004   18  0.8160  0.0016  0.0815  0.427  0.5713  0.49
Malcuzynski 1951   61  0.6519  0.0036  0.0638  0.0619  0.2546  0.12
Malcuzynski 1961   53  0.7049  0.0038  0.0735  0.0749  0.0660  0.06
Magaloff 1977   11  0.8124  0.0022  0.0819  0.355  0.5716  0.45
Magin 1975   33  0.7844  0.0023  0.0828  0.2518  0.3228  0.28
Meguri 1997   25  0.7953  0.0033  0.1131  0.215  0.6221  0.36
Milkina 1970   39  0.7552  0.0052  0.0451  0.0432  0.1059  0.06
Mohovich 1999   29  0.789  0.0128  0.0627  0.2521  0.2830  0.26
Nezu 2005   20  0.802  0.037  0.128  0.524  0.606  0.56
Ohlsson 1999   21  0.806  0.0119  0.0824  0.2823  0.3227  0.30
Olejniczak 1990   14  0.8136  0.0032  0.0930  0.2316  0.4325  0.31
Osinska 1989   9  0.8228  0.0011  0.129  0.5015  0.3219  0.40
Perlemuter 1992   42  0.7354  0.0061  0.0545  0.0515  0.2843  0.12
Poblocka 1999   10  0.8263  0.0024  0.0716  0.4220  0.3320  0.37
Rangell 2001   19  0.8013  0.0131  0.0929  0.241  0.8017  0.44
Richter 1960   26  0.794  0.0134  0.0734  0.0716  0.3636  0.16
Richter 1961   57  0.6857  0.0062  0.0546  0.0532  0.1454  0.08
Rosen 1989   13  0.8138  0.0017  0.0817  0.426  0.609  0.50
Rubinstein 1939   24  0.7951  0.0010  0.1013  0.4610  0.5311  0.49
Rubinstein 1952   37  0.7634  0.0013  0.1020  0.3518  0.3023  0.32
Rubinstein 1966   8  0.8233  0.005  0.146  0.5812  0.4112  0.49
Rudanovskaya 2007   31  0.7840  0.0040  0.0456  0.0410  0.5138  0.14
Shebanova 2002   12  0.813  0.018  0.114  0.608  0.585  0.59
Smith 1975   28  0.7826  0.0044  0.0455  0.0413  0.4541  0.13
Sztompka 1959   54  0.7061  0.0064  0.0541  0.0550  0.0562  0.05
Tanyel 1992   15  0.8115  0.014  0.127  0.561  0.832  0.68
Tsujii 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1959   16  0.8123  0.0012  0.0912  0.4611  0.4715  0.46
Vardi 1988   46  0.7210  0.0127  0.0733  0.172  0.6622  0.33
Wasowski 1980   36  0.7618  0.0026  0.0832  0.1822  0.3333  0.24
Zimerman 1975   34  0.7742  0.0035  0.0540  0.0511  0.5635  0.17
Average   1  0.911  0.801  0.791  0.898  0.601  0.73
Random 1   67  -0.0458  0.0067  0.0167  0.0155  0.0367  0.02
Random 2   66  0.0266  0.0066  0.0266  0.0237  0.0665  0.03
Random 3   65  0.0345  0.0065  0.0365  0.0351  0.0366  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).