MACHINE LEARNING APPARATUS, MACHINE LEARNING METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM

摘要

A machine learning apparatus (100) including: a feature calculation unit (11) that transforms, into first numerical data sets, training data sets to each of which either one of two values is added; a support vector machine learning unit (21) that learns, based on the first numerical data sets, a criterion for classification of the two values, creating a learning model; a self-organizing map learning unit (22) that projects the first numerical data sets onto a two-dimensional map, the two-dimensional map having blocks and representative data sets, wherein the self-organizing map learning unit (22) causes, first numerical data sets with a short distance from each other to belong to adjacent blocks; a support vector machine classifying unit (25) that classifies, by using the learning model, the blocks and the representative data sets; and a learning model two-dimensionalization unit (31) that creates a two-dimensional learning model representing the results of the classification.

主权项

1. A machine learning apparatus comprising:
a feature calculation unit that transforms, into first numerical data sets, training data sets to each of which either one of two values is added as a label, each of the first numerical data sets containing a numerical value representing a feature of the corresponding training data set; a support vector machine learning unit that learns, based on the first numerical data sets obtained by the transformation of the training data sets, and by using a support vector machine, a criterion for classification of the two values in the label, thereby creating a learning model representing the results of the learning; a self-organizing map learning unit that projects the first numerical data sets onto a two-dimensional map by self-organizing map processing, the two-dimensional map having blocks arranged in a matrix and having representative data sets belonging to the blocks, wherein the self-organizing map learning unit causes, from among the first numerical data sets, two or more first numerical data sets with a short distance from each other to belong to adjacent blocks among the blocks of the two-dimensional map; a support vector machine classifying unit that classifies, by using the learning model, the blocks of the two-dimensional map, onto which the first numerical data sets have been projected, and the representative data sets; and a learning model two-dimensionalization unit that creates a two-dimensional learning model representing the results of the classification.