Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Dynamics of a mean-shift-like algorithm and its applications on clustering | |
Liu, Yiguang1; Li, Stan Z.2,3; Wu, Wei4; Huang, Ronggang1 | |
发表期刊 | INFORMATION PROCESSING LETTERS |
2013 | |
卷号 | 113期号:1-2页码:8-16 |
文章类型 | Article |
摘要 | The Mean-Shift (MS) algorithm and its variants have wide applications in pattern recognition and computer vision tasks such as clustering, segmentation, and tracking. In this paper, we study the dynamics of the algorithm with Gaussian kernels, based on a Generalized MS (GMS) model that includes the standard MS as a special case. First, we prove that the GMS has solutions in the convex hull of the given data points. By the principle of contraction mapping, a sufficient condition, dependent on a parameter introduced into Gaussian kernels, is provided to guarantee the uniqueness of the solution. It is shown that the solution is also globally stable and exponentially convergent under the condition. When the condition does not hold, the GMS algorithm can possibly have multiple equilibriums, which can be used for clustering as each equilibrium has its own attractive basin. Based on this, the condition can be used to estimate an appropriate parameter which ensures the GMS algorithm to have its equilibriums suitable for clustering. Examples are given to illustrate the correctness of the condition. It is also shown that the use of the multiple-equilibrium property for clustering, on the data sets such as IRIS, leads to a lower error rate than the standard MS approach, and the K-Means and Fuzzy C-Means algorithms. (c) 2012 Elsevier B.V. All rights reserved. |
关键词 | Design Of Algorithms Mean-shift Algorithm Stability Exponential Convergence Clustering |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | RECOGNITION ; CLASSIFIER |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems |
WOS记录号 | WOS:000312175200003 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/7945 |
专题 | 模式识别国家重点实验室_生物识别与安全技术 |
作者单位 | 1.Sichuan Univ, Vis & Image Proc Lab, Sch Comp, Chengdu 610064, Sichuan Provinc, Peoples R China 2.Chinese Acad Sci, CBSR, Inst Automat, Beijing 100080, Peoples R China 3.Chinese Acad Sci, NLPR, Inst Automat, Beijing 100080, Peoples R China 4.Sichuan Univ, Sch Elect & Informat Engn, Chengdu 610064, Sichuan Provinc, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Yiguang,Li, Stan Z.,Wu, Wei,et al. Dynamics of a mean-shift-like algorithm and its applications on clustering[J]. INFORMATION PROCESSING LETTERS,2013,113(1-2):8-16. |
APA | Liu, Yiguang,Li, Stan Z.,Wu, Wei,&Huang, Ronggang.(2013).Dynamics of a mean-shift-like algorithm and its applications on clustering.INFORMATION PROCESSING LETTERS,113(1-2),8-16. |
MLA | Liu, Yiguang,et al."Dynamics of a mean-shift-like algorithm and its applications on clustering".INFORMATION PROCESSING LETTERS 113.1-2(2013):8-16. |
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