Reduction of Multidimensional Image Characteristics Based on Improved KICA

Table 1

Different dimension reduction results of dimensional reduction methods for multidimensional feature samples.

	PCA	2DPCA	PCA-ICA	PCA-KICA	2DPCA-KCCA	2DPCA-KGV
	0.9347	0.9441	0.9236	0.9329	0.9707	0.9729
	0.9422	0.9511	0.9450	0.9430	0.9722	0.9830
	0.9478	0.9563	0.9499	0.9563	0.9698	0.9763
	0.9507	0.9427	0.9506	0.9581	0.9507	0.9881
	0.9469	0.9505	0.9789	0.9505	0.9669	0.9805
	0.9589	0.9609	0.9635	0.9576	0.9789	0.9776
	0.9267	0.9118	0.9288	0.9332	0.9767	0.9832
	0.9321	0.9209	0.9167	0.9289	0.9821	0.9889
	0.9233	0.9473	0.9273	0.9207	0.9733	0.9707
	0.9017	0.9101	0.9119	0.9244	0.9817	0.9844
	0.9365	0.9396	0.9397	0.9406	0.9723	0.9806
Amari	0.0898	0.0763	0.0824	0.0707	0.0523	0.0387