| Residential College | false |
| Status | 已發表Published |
| Data clustering analysis based on wavelet feature extraction | |
| Qian Y.1; Tang Y.2 | |
| 2003-07-01 | |
| Source Publication | Chinese Journal of Electronics
 |
| ISSN | 10224653 |
| Volume | 12Issue:3Pages:441-446 |
| Abstract | A novel wavelet-based data clustering method is presented in this paper, which includes wavelet feature extraction and cluster growing algorithm. Wavelet transform can provide rich and diversified information for representing the global and local inherent structures of dataset, therefore, it is a very powerful tool for clustering feature extraction. As an unsupervised classification, the target of clustering analysis is dependent on the specific clustering criteria. Several criteria that should be considered for general-purpose clustering algorithm are proposed. And the cluster growing algorithm is also constructed to connect clustering criteria with wavelet features. Compared with other popular clustering methods, our clustering approach provides multi-resolution clustering results, needs few prior parameters, correctly deals with irregularly shaped clusters, and is insensitive to noises and outliers. As this wavelet-based clustering method is aimed at solving two-dimensional data clustering problem, for high-dimensional datasets, self-organizing map and U-matrix method are applied to transform them into two-dimensional Euclidean space, so that high-dimensional data clustering problem becomes two-dimensional problem. Therefore, our method is also suitable for high-dimensional data clustering analysis. Results on some simulated data and standard test data are reported to illustrate the power of our method. |
| Keyword | Cluster growing Clustering analysis Clustering criteria Wavelet transform |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Journal article |
| Collection | University of Macau |
| Affiliation | 1.Zhejiang University 2.Hong Kong Baptist University |
| Recommended Citation GB/T 7714 | Qian Y.,Tang Y.. Data clustering analysis based on wavelet feature extraction[J]. Chinese Journal of Electronics, 2003, 12(3), 441-446. |
| APA | Qian Y.., & Tang Y. (2003). Data clustering analysis based on wavelet feature extraction. Chinese Journal of Electronics, 12(3), 441-446. |
| MLA | Qian Y.,et al."Data clustering analysis based on wavelet feature extraction".Chinese Journal of Electronics 12.3(2003):441-446. |
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