Table 3.

Comparison of separability properties (as classification power) for ℒ and spectral spaces using the WND classifier. Classification power (see text) is a percentage where 100% is perfect classification, and 0% is at the noise-floor for a particular classification problem (i.e. 100 / number of classes). This table illustrates that a modest improvement in classification can be achieved with EPP even when using an extensive feature library.

Set	ℒ	SBP(ℒ)	SP(ℒ)	ITF1(ℒ)	ITF2(ℒ)	ITF3(ℒ)
Pollen	94.3	93.9	94.7	94.1	92.8	95.8
CHO	95.5	95.7	96.1	97.6	96.2	96.8
HeLa	78.8	81.2	83.8	83.4	84.2	85.5
C.elegans, BWM	46.5	47.4	48.0	49.3	49.2	52.4
C.elegans, TB	43.9	46.1	48.5	50.4	47.0	51.7
ATT	99.3	99.7	99.7	98.7	99.1	99.5
Yale	81.3	85.5	83.9	80.0	81.2	80.2
Yale B	96.4	97.2	99.8	97.3	96.2	97.5
Brodatz	90.8	91.7	90.5	92.8	91.5	94.5
Average	80.8	82.0	82.8	82.6	81.9	83.8