Abstract: A non-transitory computer-readable recording medium stores therein a data clustering program that causes a computer to execute a process. The process includes calculating, for each of plural points included in a set of point group data, an eigenvector by using principal component analysis for a set of point group data that is present within a predetermined distance from a point; calculating a curvature of a multidimensional function having an extreme point that is a point positioned nearest to the eigenvector calculated; executing, on the basis of the curvature for each of the plural points of the set of point group data, clustering of the plural points; and outputting a result of execution of the clustering.

Abstract: A non-transitory computer-readable recording medium stores therein a feature value calculation program that causes a computer to execute a process. The process includes calculating, for each of points included in point group data, an eigenvector by using principal component analysis on point group data that is located within a predetermined distance from each of the points; calculating a curvature of a multivariable function in which a point located closest to the calculated eigenvector is used an extreme value point; and generating a feature value of the point group data on the basis of the curvature at each of the points in the point group data.

Abstract: A non-transitory computer-readable recording medium stores therein a data clustering program that causes a computer to execute a process. The process includes calculating, for each of plural points included in a set of point group data, an eigenvector by using principal component analysis for a set of point group data that is present within a predetermined distance from a point; calculating a curvature of a multidimensional function having an extreme point that is a point positioned nearest to the eigenvector calculated; executing, on the basis of the curvature for each of the plural points of the set of point group data, clustering of the plural points; and outputting a result of execution of the clustering.