Title:
情報処理装置、プログラム及び情報処理方法
Document Type and Number:
Japanese Patent JP6771705
Kind Code:
B2
Abstract:
An information processing device (100) includes a memory and processing circuitry. The memory stores a data set (DG) including multiple items of digital data (DD) and a label set (RG) including multiple labels. Each of the multiple labels are added to each of the multiple items of digital data (DD). The processing circuitry generates a feature vector set (BG) by extracting a predetermined feature from each of the multiple items of digital data (DD) and generating feature vectors indicating the extracted features. The feature vector set includes the feature vectors. The processing circuitry determines homogeneity of the data set (DG) by performing a trial of supervised clustering on the feature vector set (BG) by using the label set (RG) and determining the possibility of the clustering.
Inventors:
Nobuaki Tanaka
Application Number:
JP2020533929A
Publication Date:
October 21, 2020
Filing Date:
July 31, 2018
Export Citation:
Assignee:
Mitsubishi Electric Corporation
International Classes:
G06N20/00
Other References:
MEFTAHI, Badreddine et al.,A New Homogeneity Inter-Clusters Measure in Semi-Supervised Clustering,International Journal of Computer Applications,2013年 3月,Volume 66, No.24,pp.37-45,URL,https://arxiv.org/ftp/arxiv/papers/1304/1304.3840.pdf
ZEIDAT, Nidal et al.,SUPERVISED CLUSTERING: ALGORITHMS AND APPLICATIONS,2006年 6月28日,pp.1-22,URL,https://pdfs.semanticscholar.org/f93c/e6663baddb79b73380c353f61502d3a306f1.pdf
ZEIDAT, Nidal et al.,SUPERVISED CLUSTERING: ALGORITHMS AND APPLICATIONS,2006年 6月28日,pp.1-22,URL,https://pdfs.semanticscholar.org/f93c/e6663baddb79b73380c353f61502d3a306f1.pdf
Attorney, Agent or Firm:
Youichi Yamagata
Kenkai Sato
Masahiko Shinohara
Minoru Maeda
Kenkai Sato
Masahiko Shinohara
Minoru Maeda