Feature amount selection device, feature amount selection method, and program

A feature amount selection method comprising:

• feature amount data acquisition of acquiring feature amount data including a set of values of a plurality of feature amounts for a sample, for each of a plurality of the samples;
• principal component analysis of performing, on the feature amount data, principal component analysis in a sample space that is a collection of the plurality of feature amounts of a set of values for each of the plurality of the samples of the feature amounts;
• a distortion determination of determining whether there is distortion in a distribution of a principal component obtained by the principal component analysis in the sample space;
• and
• feature amount selection of selecting a feature amount from among the plurality of the feature amounts based on a principal component determined to have no distortion in the distribution among the principal components obtained by the principal component analysis performed in the principal component analysis.

A program for causing a computer to execute

• feature amount data acquisition of acquiring feature amount data including a set of values of a plurality of feature amounts for a sample, for each of a plurality of the samples,
• principal component analysis of performing, on the feature amount data, principal component analysis in a sample space that is a collection of the plurality of feature amounts of a set of values for each of the plurality of the samples of the feature amounts,
• a distortion determination of determining whether there is distortion in a distribution of a principal component obtained by the principal component analysis in the sample space, and
• feature amount selection of selecting a feature amount from among the plurality of the feature amounts based on a principal component determined to have no distortion in the distribution among the principal components obtained by the principal component analysis performed in the principal component analysis.