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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weifeng Zhang Zengchang Qin |
| Copyright Year | 2011 |
| Description | Author affiliation: Intelligent Computing and Machine Learning Lab School of ASEE, Beihang University (Zengchang Qin) || Intelligent Computing and Machine Learning Lab, School of Automation Science and Electrical Engineering, Beihang University, China (Weifeng Zhang) |
| Abstract | Cluster analysis is the assignment of grouping a set of observations into clusters so that observations in the same cluster are similar in some sense. One of the key features for clustering is how to define a sensible similarity measure. However, classical clustering algorithms have no ability to cluster data instances and imprecise concepts using traditional distance measures. In this paper, we proposed a (dis)similarity measure based on a new knowledge representation framework called label semantics. Based on this new measure, we can automatically cluster data instance and descriptive concepts represented by logical expressions of linguistic labels. Experimental results on a toy problem in image classification demonstrate the effectiveness of the new proposed clustering algorithm. Since the new proposed measure can be extended to measuring distance between any two granularities, the new clustering algorithms can also be extended to clustering data instance and imprecise concepts represented by other granularities. |
| Starting Page | 603 |
| Ending Page | 608 |
| File Size | 597645 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007372 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pragmatics Clustering algorithms Semantics Image color analysis Silicon Algorithm design and analysis Humans Imprecise Concept Modeling Clustering Label Semantics Linguistic Expressions K-means |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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