TY - GEN
T1 - Hypothesis oriented cluster analysis in data mining by visualization
AU - Zhang, Ke Bing
AU - Orgun, Mehmet A.
AU - Zhang, Kang
AU - Zhang, Yihao
PY - 2006
Y1 - 2006
N2 - Cluster analysis is an important, technique that has been used in data mining. However, cluster analysis provides numerical feedback making it hard for users to understand the results better; and also most, of the clustering algorithms are not suitable for dealing with arbitrarily shaped data distributions of datasets. While visualization techniques have been proven to be effective in data mining, their use in cluster analysis is still a major challenge, especially in data mining applications with high-dimensional and huge datasets. This paper introduces a novel approach, Hypothesis Oriented Verification and Validation by Visualization, named HOV3, which projects datasets based on given hypotheses by visualization in 2D space. Since HOV3 approach is more goal-oriented, it can assist, the user in discovering more precise cluster information from high-dimensional datasets efficiently and effectively.
AB - Cluster analysis is an important, technique that has been used in data mining. However, cluster analysis provides numerical feedback making it hard for users to understand the results better; and also most, of the clustering algorithms are not suitable for dealing with arbitrarily shaped data distributions of datasets. While visualization techniques have been proven to be effective in data mining, their use in cluster analysis is still a major challenge, especially in data mining applications with high-dimensional and huge datasets. This paper introduces a novel approach, Hypothesis Oriented Verification and Validation by Visualization, named HOV3, which projects datasets based on given hypotheses by visualization in 2D space. Since HOV3 approach is more goal-oriented, it can assist, the user in discovering more precise cluster information from high-dimensional datasets efficiently and effectively.
KW - Cluster analysis
KW - High-dimensional data visualization
KW - Visual data mining
UR - https://www.scopus.com/pages/publications/34247157200
U2 - 10.1145/1133265.1133315
DO - 10.1145/1133265.1133315
M3 - Conference Paper published in a book
AN - SCOPUS:34247157200
SN - 1595933530
SN - 9781595933539
T3 - Proceedings of the Workshop on Advanced Visual Interfaces
SP - 254
EP - 257
BT - Proceedings of the AVI '06 - Working Conference on Advanced Visual Interfaces 2006
T2 - AVI '06 - Working Conference on Advanced Visual Interfaces 2006
Y2 - 23 May 2006 through 26 May 2006
ER -