搜索资源列表
MyKmeans
- 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去
kmeans_1
- RBF神经网络的K均值算法，C程序的，供大家参考！-RBF neural network algorithm mean K, C procedures, for your reference!
k_averages
- 一个很好的关于K均值算法的C++源程序。-a good K-means algorithm on the C source.
cmeans
- 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within
EXO2ET3
- K均值算法和K近邻算法，以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
fk-means
- 数据挖掘中模糊k均值算法，matlab工具编写。-data mining fuzzy k-means algorithm, Matlab tool for the preparation.
k--junzhi
- k均值算法是模式识别的聚分类问题，这是用C实现其算法以下是程序源代码-k-means algorithm is pattern recognition Poly classification, which is used to achieve its C Following is the algorithm source code
123
- k均值算法是模式识别的聚分类问题，这是用C实现其算法以下是程序源代码 -k-means algorithm is a pattern recognition classification of polyethylene, which is used to achieve its algorithm C source code The following is a
speecher_identification
- 通过语音mfcc特征参数提取采用k均值算法实现说话人识别功能-Via voice MFCC feature extraction algorithm using k-means function of speaker recognition
kmeans
- 著名的k均值算法程序，希望对做语音处理的人有用-Well-known k-means algorithm procedures, and they hope to deal with people who voice to do useful
K_average
- 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程-One of the classic pattern recognition algorithms, dynamic clustering k-means algorithm using matlab programming
k-means
- k均值算法，基于两维的-k-means algorithm, based on two-dimensional
Kmean_c++
- 聚类分析最基本的K均值算法的C++语言实现程序-Cluster analysis of the basic K-means algorithm C++ Language procedures realize
k-means
- 数据挖掘中的k均值算法，应该属于聚类分析的，c语言版。-Data Mining k-means algorithm, should belong to cluster analysis, c language version.
mpi_kmeans_
- 改进的k均值算法，可以加速运行时间，详见Using the Triangle Inequality to Accelerate k-Means-Improved k-means algorithm, can accelerate the running time, see Using the Triangle Inequality to Accelerate k-Means
juleiduanfa
- 聚类分析技术已经广泛应用于基于内容的图象信息挖掘领域，该技术提高了图象检索的速度和质量。K-均值算法和自适应算法是两个典型的聚类分析算法
k-means
- 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试-This is the K-means algorithm, using c language, K value of 2, we can change the value of K for testing
k-mean
- 算法描述： K均值算法： 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小。-Algorithm Descr iption: K-means algorithm: the number of a given type of K, will be assigned to N objects of class K to make class the similarities be
k_uiniform
- k均值算法的matlab程序，可直接运行。-k-means algorithm matlab procedures, can be directly run.
matlab_MRF
- k-均值算法的源码很有用，希望有帮助，请多多指点-k-means algorithm is useful source of hope that has helped, please instruct it