搜索资源列表
AP_Clustering
- AP聚类方法，是08年发表在“科学”上的聚类方法，本人从图像图像方面研究近十年，这是我所见过最好的聚类算法，本程序提供聚类演示，还把它用图像分割试验（matlab7.0环境调试）。-AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the bes
AP_cluster
- AP 聚类算法实现及其应用，给的数据矩阵，即可得出相应类别-AP Cluster
AP
- 最新AP聚类算法以及演示程序，算法内容参照affinity appropagation in science。-AP latest clustering algorithm as well as the demo program, algorithm reference content affinity appropagation in science.
ap_semisupervised
- AP算法的改进，添加监督策略，能更好的形成聚类结果，并有其演示程序-AP algorithm, add the supervision strategy, the formation of a better clustering results, and have its demo program
AP
- 一种新的聚类算法，被翻译为“吸引力传播聚类”，希望对研究模式识别的同学有帮助，谢谢啦-A new clustering algorithm is provided, which is called the Affinity Propagation Clustering. I hope it is helpful for people major in PR. Thank you for your attention.
AP
- 近邻传播聚类算法，简称AP算法，是由Science中的一篇文章提出来的，与以往的聚类方法相比，此方法可以更快地处理大规模数据，得到较好的聚类结果。-Neighbor propagation algorithm, referred to as the AP algorithm, is an article in Science in the past, with previous clustering methods, this method can handle large data faste
ap-CPP
- 实现AP聚类分析的c语言源代码 包含3个程序文件和一份测试数据-ap cluster c++
AP-cluster
- AP聚类算法，08年提出的一种优秀聚类算法，文档描述其执行过程及k-means和它的比较-AP cluster
ap-Code
- AP聚类算法，很好用的聚类算法，matlab实现-AP clustering algorithm, well used clustering algorithm, matlab achieve
AP-Cluster
- AP聚类算法的C++代码实现，其中数据是文本读入iris数据，P值选取欧式矩阵最小值。显示结果为聚类后结果-AP clustering algorithm C++ code, in which data is read into the text iris data, P values selected European matrix minimum. Showing results clustering results after
AP-clustering
- Affinity Propagation(AP)聚类方法的原始版本，并附加了在Science杂志上的原文献，对于研究AP算法的人会有很多参考价值。-The original version of the AP clustering method. Attached the original documents in the journal Science,it will have a lot of reference value for studying the AP algorithm.
AP
- AP聚类算法的源代码，基于matlab程序，有较详细解说-AP clustering algorithm source code, based on matlab program, a more detailed explanation
AP
- Affinity Propagation (AP) 聚类是最近在Science杂志上提出的一种新的聚类算法。-Affinity Propagation (AP)
141083696AP_Clustering
- ap聚类方法，基于信息的传递，可分类任意形状(AP clustering method, based on the transfer of information, can be classified arbitrarily shaped)
apcluster.m
- ap算法完成ap聚类操作 需要输入参数为数据集 偏向参数 输出结果为聚类数目(The AP algorithm completes the AP clustering operation, the input parameter is the data set bias parameter, and the output result is the number of clusters)
AP聚类
- AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。(AP clustering algorithm is a kind of clustering algorithm based on "information transfer" between data points. Unlike the k- mean algorithm or the k center point
AP算法代码
- ap聚类算法的MATLAB实现代码，包含了解析与源代码，供学习参考用(MATLAB implementation code of AP clustering algorithm)
AP聚类算法和案例
- ap聚类算法实现三维数据点的分类，demo为案例(AP clustering algorithm realizes the classification of data points, demo as a case.)
AP聚类Matlab程序
- AP聚类算法，亲测可用，可以很快分别不同类别(AP clustering algorithm, pro-test available, can quickly separate different categories)
AP6
- 6节点AP聚类算法小算例，可运行，编程讲解详细(6-node AP clustering algorithm, can run, programming explained in detail)