Open AccessON VISUALIZATION OF MULTIDIMENSIONAL DATA USING THREE‐DIMENSIONAL EMBEDDING SPACE
Author(s) -
Antanas Žilinskas,
Julius Žilinskas
Publication year - 2006
Publication title -
technological and economic development of economy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 47
eISSN - 2029-4921
pISSN - 2029-4913
DOI - 10.3846/13928619.2006.9637766
Subject(s) - embedding , multidimensional scaling , curse of dimensionality , visualization , dimensionality reduction , space (punctuation) , computer science , representation (politics) , multidimensional data , data point , data visualization , measure (data warehouse) , scaling , three dimensional space , theoretical computer science , mathematics , algorithm , data mining , artificial intelligence , machine learning , geometry , law , operating system , politics , political science
Multidimensional scaling addresses the problem of representation of objects specified by proximity data by points in low dimensional embedding space. The problem is reduced to optimization of an accuracy measure of fit of the proximity data by the distances between the respective points. Three‐dimensional embedding space is considered in the present paper. Images of data of different dimensionality are discussed as well as dependence of visualization accuracy on dimensionality of embedding space and complexity of data.