Mode-seeking-via-Medoidshifts
所属分类：图形图像处理
开发工具：matlab
文件大小：290KB
下载次数：14
上传日期：2011-04-13 21:53:55
上 传 者：
liusuxing
说明： 二维三位数据 聚类并显示，These files implement the medoidshift algorithm described in:
Yaser Ajmal Sheikh, Erum Arif Khan, Takeo Kanade, "Mode-seeking via Medoidshifts", IEEE International Conference on Computer Vision, 2007.
(These files implement the medoidshift algorithm described in:
Yaser Ajmal Sheikh, Erum Arif Khan, Takeo Kanade, "Mode-seeking via Medoidshifts", IEEE International Conference on Computer Vision, 2007.
)
文件列表:
Mode-seeking via Medoidshifts (0, 2011-04-13)
Mode-seeking via Medoidshifts\1.bmp (331830, 2011-01-17)
Mode-seeking via Medoidshifts\classify.m (420, 2007-08-19)
Mode-seeking via Medoidshifts\classify_slow.m (420, 2007-08-19)
Mode-seeking via Medoidshifts\dijkstra.dll (57344, 2007-04-08)
Mode-seeking via Medoidshifts\dijkstra.m (1822, 2007-04-08)
Mode-seeking via Medoidshifts\Example_TwoBivariateGaussians.m (991, 2011-04-13)
Mode-seeking via Medoidshifts\Example_TwoSpirals.m (993, 2007-08-20)
Mode-seeking via Medoidshifts\Figure1_MeanshiftVsMedoidshift.m (1366, 2007-08-19)
Mode-seeking via Medoidshifts\Figure7a_FiveCrescents.m (1006, 2007-08-19)
Mode-seeking via Medoidshifts\Figure8_FourSpirals.m (942, 2007-08-20)
Mode-seeking via Medoidshifts\IsomapIID.m (11332, 2007-04-08)
Mode-seeking via Medoidshifts\medoidshift.m (1152, 2007-08-20)
Mode-seeking via Medoidshifts\medoidshiftIterative.m (404, 2007-08-19)
Mode-seeking via Medoidshifts\randcrescent.m (429, 2007-08-19)
Mode-seeking via Medoidshifts\visualizeClustering.m (1078, 2007-08-19)
These files implement the medoidshift algorithm described in:
Yaser Ajmal Sheikh, Erum Arif Khan, Takeo Kanade, "Mode-seeking via Medoidshifts", IEEE International Conference on Computer Vision, 2007.
For further information contact: yaser@cs.cmu.edu
They have been tested on MATLAB Version 7.0.0.19920 (R14).
**
Examples are included:
Example_TwoBivariateGaussians.m: Clustering two bivariate Gaussian distributions
Example_TwoSpirals.m: Clustering using the ISOMAP distance matrix on 3D data
**
Code producing figures in the paper:
Figure1_MeanshiftVsMedoidshift.m
Figure7a_FiveCrescents.m
Figure8_FourSpirals.m
**
The basic code:
medoidshift.m: Code that takes in a distance matrix and a bandwidth parameter and returns the modes for each index
medoidshiftIterative.m: Implements one iteration of medoidshift
IsomapIID.m: Modified ISOMAP code from http://isomap.stanford.edu
dijkstra.m: For IsomapIID.m from http://isomap.stanford.edu
classify.m: Tree traversal algorithm (Step 2 in paper)
classify_slow.m: Slower version
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