Linear Fuzzy Clustering Based on Least Absolute Deviations

Katsuhiro Honda; Nobuhiro Togo; Hidetomo Ichihashi

doi:10.11499/sicep.2002.0.513.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.513.0

会議情報

主催: The Society of Instrument and Control Engineers

共催: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Linear Fuzzy Clustering Based on Least Absolute Deviations

Katsuhiro Honda, Nobuhiro Togo, Hidetomo Ichihashi

著者情報

キーワード: Fuzzy clustering, Least absolute deviation, Missing value

会議録・要旨集フリー

p. 513

詳細

抄録

This paper proposes a technique of linear fuzzy clustering based on least absolute deviations. The least absolute deviations adopted in the method provide robust clustering results that are free from the influence of outliers. The simplicity of the proposed objective function makes it possible to handle missing values by simply ignoring only the missing coordinates.

責任著者(Corresponding author)

J-STAGEへの登録はこちら（無料）