TY - GEN
T1 - Colored mosaic matrix
T2 - 2013 17th International Conference on Information Visualisation, IV 2013
AU - Kobayashi, Hiroaki
AU - Misue, Kazuo
AU - Tanaka, Jiro
PY - 2013
Y1 - 2013
N2 - Owing to a limited display resolution, it may be difficult to obtain an overview of high-dimensional data in the display area used for visualization. In this paper, we aimed to obtain an overview of high-dimensional data in a limited screen area. We developed Colored Mosaic Matrix as a method to obtain a data overview. Colored Mosaic Matrix is a visualization method for high-dimensional categorical data that uses a color representation of the features. By representing quantitative data in category units, the proposed method enables the visualization of data containing a large number of records. As a result of an experimental investigation of its readability, we found our method to be useful in obtaining a data overview.
AB - Owing to a limited display resolution, it may be difficult to obtain an overview of high-dimensional data in the display area used for visualization. In this paper, we aimed to obtain an overview of high-dimensional data in a limited screen area. We developed Colored Mosaic Matrix as a method to obtain a data overview. Colored Mosaic Matrix is a visualization method for high-dimensional categorical data that uses a color representation of the features. By representing quantitative data in category units, the proposed method enables the visualization of data containing a large number of records. As a result of an experimental investigation of its readability, we found our method to be useful in obtaining a data overview.
KW - Color Representation
KW - High-Dimensional Data
KW - Panel Matrix
UR - http://www.scopus.com/inward/record.url?scp=84893339627&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893339627&partnerID=8YFLogxK
U2 - 10.1109/IV.2013.50
DO - 10.1109/IV.2013.50
M3 - Conference contribution
AN - SCOPUS:84893339627
SN - 9780769550497
T3 - Proceedings of the International Conference on Information Visualisation
SP - 378
EP - 383
BT - Proceedings - 2013 17th International Conference on Information Visualisation, IV 2013
Y2 - 16 July 2013 through 18 July 2013
ER -