Multistrategy Self-Organizing Map Learning for Classification Problems

Table 4

Summarization of SOM and ESOM results.

		SOM			ESOM
		EUC	MAN	CHEBY	EUC	MAN	CHEBY
IRIS	Quantization error	0.0348	0.0358	0.0419	0.0171	0.0244	0.0275
	Classification (%)	74.3333	60.0000	70.0000	76.6667	73.3333	74.333
XOR	Quantization error	0.2009	0.2060	0.2159	0.1941	0.2458	0.2077
	Classification (%)	75.3436	68.4525	72.5632	86.9876	80.4462	84.2561
CANCER	Quantization error	0.4541	0.4913	0.5037	0.4397	0.4771	0.4781
	Classification (%)	37.8947	43.1579	74.2105	77.8947	34.7368	71.5789
GLASS	Quantization error	0.0337	0.0307	0.0350	0.0108	0.0122	0.0117
	Classification (%)	50.9231	13.8462	36.9231	55.3846	50.7692	44.6154
PENDIGITS	Quantization error	0.1986	0.2006	0.2103	0.1897	0.1957	1.2008
	Classification (%)	74.6427	44.5969	72.6415	76.3579	52.9445	69.1252

EUC: Euclidean distance, MAN: Manhattan distance, CHEBY: Chebyshev distance.