| Xie Zongbo (谢宗伯),Feng Jiuchao.[J].高技术通讯(英文),2012,18(1):33~37 |
|
| KFL: a clustering algorithm for image database① |
| |
| DOI： |
| 中文关键词: |
| 英文关键词: kernel fuzzy learning (KFL), image clustering, content-based image retrieval (CBIR) |
| 基金项目: |
| Author Name | Affiliation | | Xie Zongbo (谢宗伯) | | | Feng Jiuchao | |
|
| Hits: 649 |
| Download times: 0 |
| 中文摘要: |
| |
| 英文摘要: |
| It is a fairly challenging issue to make image repositories easy to be searched and browsed. This depends on a technique—image clustering. Kernel-based clustering algorithm has been one of the most promising clustering methods in the last few years, because it can handle data with high dimensional complex structure. In this paper, a kernel fuzzy learning (KFL) algorithm is proposed, which takes advantages of the distance kernel trick and the gradient-based fuzzy clustering method to execute the image clustering automatically. Experimental results show that KFL is a more efficient method for image clustering in comparison with recent reported alternative methods. |
|
View Full Text
View/Add Comment Download reader |
| Close |
|
|
|
