Visualization of cubic (one-way, three-mode) dissimilarity data by using multidimensional scaling

• Autorzy: Yadohisa H. , Yamamoto Y.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 2000 (6 ; 15-19.05.2000 ; Polesie, Poland)
• Języki publikacji: EN

Abstrakty

EN

A visualization method for cubic (one-way, three-mode) dissimilarity data is proposed. By using the framework of multidimensional scaling (MDS), the data are representated as points in a euclidean space. Two model to explain the data are proposed, and estimates are made by the alternating least squares method.

Słowa kluczowe

EN

alternating least squares method; data visualization; (dis)similarity; MDS

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 1/2
• Strony: 243--249
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Yadohisa H.

autor

Yamamoto Y.

• Department of Mathematics and Computer Science, Kagoshima University, 890-0065, Japan