Skip to main content

Table 8 Rank-wise lists of the top 20 most discriminative features selected by four different feature selection techniques

From: Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor

Rank Relief-F Pearson correlation coefficient Neighbourhood component analysis Term variance
Index Feature name Index Feature name Index Feature name Index Feature name
1 F99 FD26 F86 FD13 F1 ASM F45 Stheta
2 F53 Euler number F99 FD26 F2 Contrast F44 Sr
3 F55 Solidity F87 FD14 F3 Correlation F51 Convex area
4 F56 Extent F82 FD9 F4 Sum squares F52 Filled area
5 F4 Sum squares F83 FD10 F5 Inverse diff moment F46 Area
6 F20 Mean F85 FD12 F6 Sum average F57 Perimeter
7 F87 FD14 F53 Euler number F7 Sum variance F48 Minor axis length
8 F6 Sum average F92 FD19 F8 Sum entropy F47 Major axis length
9 F7 Sum variance F84 FD11 F9 Entropy F54 Equiv diameter
10 F86 FD13 F95 FD22 F10 Diff variance F21 Variance
11 F66 ZM3–1 F90 FD17 F11 Diff entropy F53 Euler number
12 F67 ZM31 F33 SL F12 Info measure1 F50 Orientation
13 F26 Periodicity F74 FD1 F13 Info measure2 F7 Sum variance
14 F82 FD9 F97 FD24 F14 Max Corr. Coff F20 Mean
15 F43 H2 F98 FD25 F15 Homogeneity F24 Coarseness
16 F21 Variance F124 FD51 F16 Contrast F4 Sum squares
17 F22 Skewness F79 FD6 F17 Mean F16 Contrast
18 F25 Contrast F43 H2 F18 Energy F25 Contrast
19 F8 Sum entropy F81 FD8 F19 Entropy F6 Sum average
20 F9 Entropy F80 FD7 F20 Mean F23 Kurtosis