Title :
BEADS: High dimensional data cluster visualization
Author :
Vadapalli, Soujanya ; Karlapalem, Kamalakar
Author_Institution :
Centre for Data Eng., Int. Inst. of Inf. Technol.-Hyderabad, Hyderabad, India
Abstract :
In this poster paper, we present BEADS, a high dimensional data cluster visualization by having a 2-D representation of shape and spread of the cluster. The Cluster Division component, the Bead Shape Identification and Cluster Shape Composition form the core of the system. BEADS visualization consists of a 2-D plot, standard 2-D shapes which are used as metaphors to represent corresponding high-dimensional shapes of beads. The final resulting images convey the relative placement of beads with respect to the cluster center, the shape of the beads. We give a textual summary of the beads and their 2-D placement on the Beads plot in tabular format along with the image.
Keywords :
data visualisation; pattern clustering; 2D shape representation; BEADS; beads shape identification; cluster division component; cluster shape composition; high dimensional data cluster visualization; shape 2-D representation; Clustering algorithms; Computer displays; Data engineering; Data visualization; Image representation; Partitioning algorithms; Shape; Testing;
Conference_Titel :
Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
978-1-4244-5283-5
DOI :
10.1109/VAST.2009.5333417