A visual framework invites human into the clustering process

Authors:
Keke Chen;Ling Liu
Affiliations:
Georgia Institute of Technology;Georgia Institute of Technology
Venue:
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Year:
2003

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Abstract

Clustering is a technique commonly used in scientific research. The task of clustering inevitably involves human participation - The clustering is not finished when the computer/algorithm finishes but the user has evaluated, understood and accepted the patterns. This defines a human involved "clustering-analysis/ evaluation" iteration. Instead of neglecting this human involvement, we provide a visual framework (VISTA) with all power of algorithmic approaches (since their result can be visualized), and in addition we allow the user to steer/monitor/refine the clustering process with domain knowledge. The visual-rendering result also provides a precise pattern for fast post-processing.