Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification

Table 3

Summary of selected features.

Feature selection; method	Feature; subset	Number of; features	Selected features
SVM-RFE	I	10	SS, HT, DR, Bpl, NH, Btr, Bal, Su, SA, Lpd
	II	13	HT, RP, SS, Ta1, Btr, BO, Dp, Di, Td, Fr, DR, Bar, NH
	III	12	HT, FD, SS, DR, Btr, Dp, Di, Fr, BO, Td, Su, Ty
	IV	14	HT, RP, SS, Ta2, Btr, Di, Dp, Fr, BO, Td, SA, Vo, Ta1, TS
	V	15	HT, Lpd, SS, Bpl, Btr, Bal, NH, Ta1, Su, Di, SA, Vo, Fr, Ta2, Ty
Rough set	I	13	, Co, NW, SS, NH, Ty, RP, HT, He, FD, ND, Pa, Btr
	II	13	, Co, NW, SS, NH, Ty, RP, HT, He, ND, Pa, FD, Btl
	III	11	, RP, NW, Ty, NH, SS, Pa, He, HT, ND, FD
	IV	13	, Pa, NW, SS, NH, Ty, RP, ND, HT, He, Btl, SA, FD
	V	13	, Pa, NW, SS, Ty, NH, RP, He, HT, ND, Btr, SA, FD
BMSF	I	8	, RP, NW, PDR, HT, Bar, SS, Ta2
	II	6	, Btol, NW, HT, Bar, Ta2
	III	8	, Pa, NW, HT, Bar, Ta2, Bal, Lpd
	IV	7	, Lpd, NW, Pa, PDR, Ta2, HT
	V	8	, Btr, NW, HT, Bar, Ta2, PDR, SA