Importance

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Abstract

A data processing method, includes: mapping each of a plurality of data, for which classes the data belong to are known, to one point on an N-dimensional feature space using at least two feature amounts; dividing a set of points corresponding to the plurality of data mapped on the feature space into a plurality of N-dimensional simplexes having each point as an apex; classifying a set of points that constitute a hyperplane of each simplex obtained by the division into a subset including points that belong to the same class as elements; and reducing the elements of the subsets for each of the classified subsets. The dividing includes dividing the set of points into the plurality of simplexes so a hypersphere circumscribed on each simplex does not include a point that constitutes another simplex.

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First Claim