Visualization of proximity data by multidimensional scaling with residual from space reduction

• Autorzy: Yadohisa H.
• Języki publikacji: EN

Abstrakty

EN

New multidimensional scaling method for representing a two-way proximity data is proposed. Given an n x n data matrix D of proximity measures between n objects, a configuration of objects, optimum in a sense, is detemined by applying some suitable multidimensional scaling method as a set of coordinates X. A residual matrix composed from X. The main purpose of this paper is to propose a graphical method for representing the residual caused space reduction.

Słowa kluczowe

EN

asymmetry; data visualization; (dis)similarity; graphical representation; MDS

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 1998
• Tom: Vol. 7, No. 3
• Strony: 681--686
• Opis fizyczny: Bibliogr. 7 poz.

Twórcy

autor

Yadohisa H.

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