US Patent Application 18323301. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM simplified abstract

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INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

Organization Name

CANON KABUSHIKI KAISHA==Inventor(s)==

[[Category:SHOJI Tanaka of Kanagawa (JP)]]

[[Category:KOJI Makita of Kanagawa (JP)]]

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18323301 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

Simplified Explanation

The patent application describes an apparatus that performs clustering on a data group based on a feature value of each piece of data.

  • The apparatus includes a clustering unit that performs clustering on the data group.
  • A determination unit identifies a representative cluster among the clusters generated by the clustering unit.
  • A first identification unit identifies a first cluster based on the degree of similarity between each cluster and the representative cluster.
  • A second identification unit identifies a second cluster based on the degree of similarity between each cluster and both the representative cluster and the first cluster.
  • A selection unit selects data for display from the representative cluster, the first cluster, and the second cluster.


Original Abstract Submitted

An apparatus includes a clustering unit configured to perform clustering on a data group based on a feature value of each of a plurality of pieces of data, a determination unit determines a representative cluster among clusters generated by the clustering unit, a first identification identifies a first cluster based on a degree of similarity between each of the clusters generated by the clustering unit and the representative cluster, a second identification unit identifies a second cluster based on a first degree of similarity, which is the degree of similarity between each of the clusters generated by the clustering unit and the representative cluster, and a second degree of similarity, which is a degree of similarity between each of the clusters generated by the clustering unit and the first cluster, and a selection unit selects data for display from among the representative cluster, the first cluster, and the second cluster.

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