Document Type
Conference Proceeding
Publication Date
7-9-2003
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.
Repository Citation
Chen, K.,
& Liu, L.
(2003). A Visual Framework Invites Human into the Clustering Process. 15th International Conference on Scientific and Statistical Database Management, 97-106.
https://corescholar.libraries.wright.edu/knoesis/167
DOI
10.1109/SSDM.2003.1214971
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
This paper was presented at the Scientific and Statistical Database Management (SSDBM03). Cambridge, Boston, July 2003.
This is the authors' version of the article