Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7410  0.0314  0.0913  0.378  0.4014  0.38
Anderszewski 2003   58  0.5522  0.0156  0.0363  0.0361  0.0376  0.03
Ashkenazy 1981   62  0.5456  0.0058  0.0362  0.0351  0.0481  0.03
Bacha 2000   65  0.5350  0.0075  0.0284  0.0250  0.0572  0.03
Badura 1965   61  0.5462  0.0042  0.0542  0.1023  0.3236  0.18
Barbosa 1983   68  0.5251  0.0049  0.0546  0.0549  0.0560  0.05
Biret 1990   20  0.7111  0.0226  0.0533  0.1944  0.1141  0.14
Blet 2003   32  0.6420  0.0141  0.0641  0.1338  0.1442  0.13
Block 1995   23  0.6923  0.0121  0.0626  0.255  0.4022  0.32
Blumental 1952   80  0.2742  0.0081  0.0372  0.0369  0.0380  0.03
Boshniakovich 1969   16  0.735  0.088  0.1410  0.395  0.537  0.45
Brailowsky 1960   31  0.6658  0.0044  0.0444  0.0835  0.1544  0.11
Bunin 1987   43  0.6189  0.0054  0.0645  0.0651  0.0561  0.05
Bunin 1987b   42  0.6185  0.0053  0.0368  0.0351  0.0564  0.04
Chiu 1999   73  0.4766  0.0063  0.0461  0.0446  0.0657  0.05
Cohen 1997   82  0.2716  0.0274  0.0375  0.0359  0.0482  0.03
Cortot 1951   63  0.5461  0.0071  0.0455  0.0461  0.0471  0.04
Csalog 1996   75  0.4359  0.0087  0.0285  0.0270  0.0386  0.02
Czerny 1949   15  0.734  0.095  0.1211  0.3920  0.3713  0.38
Czerny 1990   11  0.7753  0.0015  0.0816  0.3624  0.2724  0.31
Duchoud 2007   36  0.6370  0.0045  0.0454  0.0446  0.0569  0.04
Ezaki 2006   6  0.8019  0.0111  0.124  0.5113  0.406  0.45
Falvay 1989   28  0.6832  0.0032  0.0536  0.1833  0.1637  0.17
Farrell 1958   30  0.6621  0.0124  0.0632  0.1920  0.2332  0.21
Ferenczy 1958   71  0.4933  0.0083  0.0281  0.0268  0.0387  0.02
Fliere 1977   3  0.837  0.047  0.117  0.4611  0.408  0.43
Fou 1978   40  0.6225  0.0016  0.0817  0.3618  0.3916  0.37
Francois 1956   12  0.773  0.102  0.156  0.469  0.465  0.46
Friedman 1923   87  0.1676  0.0079  0.0282  0.0225  0.3348  0.08
Friedman 1923b   86  0.1681  0.0080  0.0364  0.0326  0.3045  0.09
Friedman 1930   76  0.4143  0.0046  0.0451  0.0416  0.3943  0.12
Garcia 2007   77  0.3682  0.0078  0.0377  0.0375  0.0379  0.03
Garcia 2007b   83  0.2686  0.0077  0.0286  0.0225  0.1955  0.06
Gierzod 1998   21  0.7015  0.0240  0.0740  0.1652  0.0447  0.08
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   8  0.7828  0.0012  0.1314  0.3612  0.4212  0.39
Harasiewicz 1955   56  0.5645  0.0019  0.0623  0.2829  0.2428  0.26
Hatto 1993   85  0.2177  0.0084  0.0376  0.0383  0.0290  0.02
Hatto 1997   79  0.2967  0.0082  0.0379  0.0356  0.0377  0.03
Horowitz 1949   57  0.5538  0.0070  0.0547  0.0545  0.0659  0.05
Indjic 1988   84  0.2278  0.0085  0.0374  0.0381  0.0285  0.02
Kapell 1951   47  0.6071  0.0057  0.0371  0.0376  0.0374  0.03
Kissin 1993   27  0.6829  0.0018  0.0720  0.3118  0.3819  0.34
Kushner 1989   2  0.8431  0.009  0.109  0.398  0.4310  0.41
Luisada 1991   34  0.6444  0.0052  0.0548  0.0552  0.0556  0.05
Lushtak 2004   69  0.5148  0.0055  0.0458  0.0461  0.0470  0.04
Malcuzynski 1961   1  0.841  0.191  0.191  0.595  0.562  0.57
Magaloff 1978   5  0.806  0.056  0.108  0.4416  0.419  0.42
Magin 1975   41  0.6273  0.0037  0.0639  0.1629  0.2135  0.18
Michalowski 1933   78  0.3688  0.0048  0.0459  0.0465  0.0465  0.04
Milkina 1970   29  0.6749  0.0036  0.0534  0.1933  0.2133  0.20
Mohovich 1999   9  0.7817  0.0113  0.0912  0.3916  0.3715  0.38
Moravec 1969   52  0.5739  0.0068  0.0460  0.0463  0.0462  0.04
Morozova 2008   44  0.6146  0.0034  0.0828  0.2338  0.1238  0.17
Neighaus 1950   10  0.772  0.113  0.133  0.525  0.543  0.53
Niedzielski 1931   67  0.5365  0.0086  0.0288  0.0276  0.0284  0.02
Ohlsson 1999   33  0.6412  0.0243  0.0443  0.0961  0.0454  0.06
Osinska 1989   7  0.7814  0.0220  0.0618  0.3212  0.3818  0.35
Pachmann 1927   74  0.4483  0.0060  0.0378  0.0338  0.1453  0.06
Paderewski 1930   45  0.6041  0.0059  0.0456  0.0444  0.0852  0.06
Perlemuter 1992   39  0.6234  0.0031  0.0530  0.2127  0.2331  0.22
Pierdomenico 2008   19  0.7172  0.0027  0.0619  0.3118  0.3123  0.31
Poblocka 1999   37  0.6235  0.0066  0.0370  0.0362  0.0473  0.03
Rabcewiczowa 1932   17  0.7237  0.0029  0.0529  0.2120  0.3626  0.27
Rachmaninoff 1923   51  0.5774  0.0035  0.0537  0.1729  0.2034  0.18
Rangell 2001   25  0.6955  0.0023  0.0522  0.2924  0.2327  0.26
Richter 1976   66  0.5354  0.0061  0.0373  0.0370  0.0375  0.03
Rosen 1989   4  0.828  0.034  0.182  0.552  0.671  0.61
Rosenthal 1930   26  0.6924  0.0128  0.0527  0.2310  0.4820  0.33
Rosenthal 1931   38  0.6287  0.0025  0.0621  0.2910  0.4517  0.36
Rosenthal 1931b   49  0.5952  0.0030  0.0525  0.2612  0.4221  0.33
Rosenthal 1931c   18  0.7163  0.0017  0.0715  0.367  0.584  0.46
Rosenthal 1931d   35  0.6440  0.0039  0.0638  0.1713  0.3630  0.25
Rossi 2007   70  0.5057  0.0033  0.0635  0.184  0.3629  0.25
Rubinstein 1939   81  0.279  0.0373  0.0287  0.0238  0.1851  0.06
Rubinstein 1952   53  0.5618  0.0169  0.0457  0.0438  0.1350  0.07
Rubinstein 1966   46  0.6030  0.0050  0.0450  0.0412  0.4640  0.14
Schilhawsky 1960   50  0.5779  0.0064  0.0452  0.0465  0.0467  0.04
Shebanova 2002   55  0.5660  0.0067  0.0365  0.0358  0.0568  0.04
Smith 1975   13  0.7713  0.0210  0.115  0.5011  0.3111  0.39
Sokolov 2002   22  0.6926  0.0038  0.0631  0.1943  0.1239  0.15
Sztompka 1959   48  0.5947  0.0047  0.0549  0.0543  0.1346  0.08
Tomsic 1995   24  0.6927  0.0022  0.0624  0.2723  0.3125  0.29
Uninsky 1932   72  0.4884  0.0072  0.0369  0.0367  0.0478  0.03
Uninsky 1971   54  0.5636  0.0065  0.0367  0.0351  0.0566  0.04
Wasowski 1980   64  0.5364  0.0076  0.0280  0.0275  0.0383  0.02
Zak 1937   60  0.5568  0.0062  0.0366  0.0354  0.0563  0.04
Zak 1951   59  0.5575  0.0051  0.0453  0.0447  0.0658  0.05
Random 1   89  -0.0490  0.0090  0.0190  0.0151  0.0489  0.02
Random 2   90  -0.1080  0.0089  0.0189  0.0164  0.0388  0.02
Random 3   88  0.0969  0.0088  0.0283  0.0223  0.2449  0.07

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).