Average

Performance		0-Rank	0-Score	1-Rank	1-Score	2-Rank	2-Score	3-Rank	3-Score	3R-Rank	3R-Score	4-Rank	4-Score	NED
Ashkenazy 1981		14	0.85	49	0.00	16	0.16	14	0.60	1	0.89	14	0.73
Ax 1995		8	0.87	33	0.00	10	0.18	9	0.73	1	0.92	8	0.82
Bacha 1998		47	0.75	50	0.00	51	0.06	53	0.06	1	0.81	54	0.22
Barbosa 1983		41	0.77	20	0.00	25	0.07	30	0.28	1	0.86	30	0.49
BenOr 1989		40	0.78	18	0.00	35	0.10	37	0.10	1	0.90	36	0.30
Biret 1990		33	0.81	40	0.00	33	0.11	33	0.22	1	0.90	33	0.44
Brailowsky 1960		37	0.80	42	0.00	36	0.06	55	0.06	1	0.88	50	0.23
Chiu 1999		50	0.73	54	0.00	56	0.11	36	0.11	1	0.69	38	0.28
Clidat 1994		30	0.82	39	0.00	21	0.10	19	0.50	1	0.86	19	0.66
Cohen 1997		63	0.57	64	0.00	63	0.06	57	0.06	3	0.70	61	0.20
Cortot 1951		64	0.51	56	0.00	64	0.06	59	0.06	4	0.61	62	0.19
Csalog 1996		38	0.79	53	0.00	42	0.10	38	0.10	1	0.83	37	0.29
Czerny 1989		35	0.80	58	0.00	39	0.09	40	0.09	1	0.83	40	0.27
Ezaki 2006		11	0.86	10	0.01	14	0.11	21	0.47	1	0.89	21	0.65
Falvay 1989		6	0.88	2	0.12	7	0.32	3	0.80	1	0.92	3	0.86
Fiorentino 1962		17	0.84	9	0.01	15	0.11	17	0.51	1	0.89	18	0.67
Fliere 1977		29	0.82	25	0.00	26	0.07	27	0.32	1	0.78	29	0.50
Fou 1978		24	0.83	19	0.00	19	0.11	20	0.50	1	0.92	16	0.68
Francois 1956		52	0.72	41	0.00	48	0.06	60	0.06	1	0.80	56	0.22
Goldenweiser 1946		62	0.59	43	0.00	60	0.04	64	0.04	5	0.67	64	0.16
Gornostaeva 1994		61	0.65	61	0.00	54	0.06	58	0.06	1	0.71	57	0.21
Groot 1988		36	0.80	21	0.00	38	0.09	39	0.09	1	0.86	39	0.28
Hatto 1993		4	0.89	7	0.02	4	0.20	5	0.80	3	0.93	5	0.86
Hatto 1997		3	0.90	28	0.00	6	0.37	4	0.80	3	0.92	4	0.86
Horszowski 1983		59	0.65	62	0.00	61	0.04	63	0.04	1	0.72	63	0.17
Indjic 2001		2	0.90	14	0.01	5	0.26	2	0.82	3	0.92	2	0.87
Katin 1996		23	0.83	30	0.00	28	0.09	31	0.24	1	0.90	32	0.46
Kiepura 1999		48	0.74	32	0.00	49	0.05	62	0.05	1	0.82	58	0.20
Korecka 1992		57	0.70	51	0.00	58	0.06	56	0.06	1	0.79	55	0.22
Kushner 1990		42	0.76	36	0.00	37	0.08	42	0.08	1	0.83	42	0.26
Lilamand 2001		58	0.68	48	0.00	59	0.07	49	0.07	1	0.77	51	0.23
Luisada 1990		46	0.75	13	0.01	45	0.07	50	0.07	2	0.88	43	0.25
Luisada 2008		43	0.76	55	0.00	46	0.07	46	0.07	2	0.85	47	0.24
Lushtak 2004		18	0.84	6	0.03	12	0.16	16	0.52	1	0.89	17	0.68
Malcuzynski 1951		7	0.88	3	0.11	3	0.19	7	0.77	2	0.91	7	0.84
Malcuzynski 1961		16	0.85	4	0.09	2	0.23	8	0.73	2	0.87	9	0.80
Magaloff 1977		55	0.71	44	0.00	53	0.07	45	0.07	1	0.82	48	0.24
Magin 1975		22	0.83	45	0.00	32	0.11	32	0.24	1	0.88	31	0.46
Meguri 1997		54	0.71	47	0.00	41	0.08	41	0.08	1	0.75	46	0.24
Milkina 1970		15	0.85	22	0.00	11	0.19	10	0.67	1	0.88	11	0.77
Mohovich 1999		27	0.82	59	0.00	23	0.11	18	0.51	1	0.86	20	0.66
Nezu 2005		10	0.86	11	0.01	9	0.28	11	0.65	1	0.93	10	0.78
Ohlsson 1999		19	0.84	23	0.00	29	0.10	29	0.30	1	0.89	27	0.52
Olejniczak 1990		21	0.83	26	0.00	27	0.08	25	0.40	1	0.91	25	0.60
Osinska 1989		5	0.89	8	0.02	8	0.30	6	0.78	1	0.93	6	0.85
Perlemuter 1992		60	0.65	63	0.00	62	0.06	54	0.06	2	0.67	59	0.20
Poblocka 1999		9	0.87	17	0.00	13	0.14	15	0.60	1	0.92	13	0.74
Rangell 2001		32	0.82	34	0.00	40	0.12	35	0.12	1	0.87	35	0.32
Richter 1960		51	0.72	27	0.00	50	0.05	61	0.05	2	0.80	60	0.20
Richter 1961		53	0.72	37	0.00	47	0.07	51	0.07	2	0.82	44	0.24
Rosen 1989		39	0.78	29	0.00	43	0.07	47	0.07	1	0.81	49	0.24
Rubinstein 1939		28	0.82	24	0.00	24	0.11	23	0.43	1	0.88	22	0.62
Rubinstein 1952		34	0.81	15	0.01	31	0.10	28	0.32	2	0.84	28	0.52
Rubinstein 1966		26	0.82	16	0.00	30	0.09	26	0.37	2	0.83	26	0.55
Rudanovskaya 2007		56	0.71	60	0.00	57	0.07	48	0.07	1	0.78	52	0.23
Shebanova 2002		31	0.82	57	0.00	34	0.14	34	0.14	2	0.84	34	0.34
Smith 1975		45	0.76	46	0.00	44	0.06	52	0.06	1	0.79	53	0.22
Sztompka 1959		49	0.74	52	0.00	55	0.07	44	0.07	1	0.82	45	0.24
Tanyel 1992		13	0.85	5	0.04	18	0.13	12	0.65	1	0.90	12	0.76
Tsujii 2005		1	0.92	1	0.45	1	0.45	1	0.85	1	0.92	1	0.88
Uninsky 1959		20	0.84	35	0.00	22	0.12	22	0.46	1	0.84	23	0.62
Vardi 1988		25	0.83	12	0.01	20	0.16	24	0.43	1	0.87	24	0.61
Wasowski 1980		44	0.76	31	0.00	52	0.08	43	0.08	1	0.87	41	0.26
Zimerman 1975		12	0.86	38	0.00	17	0.13	13	0.61	1	0.86	15	0.72
Average		target	target	target	target	target	target	target	target	target	target	target	target
Random 1		67	-0.07	65	0.00	67	0.01	67	0.01	49	0.04	67	0.02
Random 2		65	-0.03	66	0.00	65	0.02	65	0.02	39	0.05	65	0.03
Random 3		66	-0.06	67	0.00	66	0.02	66	0.02	49	0.04	66	0.03

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).