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A visual framework invites human into the clustering process

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2 Author(s)
Keke Chen ; Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA ; Ling Liu

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.

Published in:

Scientific and Statistical Database Management, 2003. 15th International Conference on

Date of Conference:

9-11 July 2003

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