搜索资源列表
kMean
- clustering的经典k-mean算法源程序，VB代码-clustering k-mean algorithm, in VB
K-Mean
- 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
K-means
- 模式识别 k-mean算法程序，用Visual c++编写-K-mean algorithm for pattern recognition procedures, using Visual c++ Prepared
K-mean
- 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-K-means algorithm: the number of a given type of K, will be assigned to N objects of category K go, making the object category similarity between the largest, while the category of the simi
SimpleRegionGrowing
- usefull k-mean algorithm developed for image clustering using java
K_Mean
- Source code for K-Mean algorithm
K-Means.Algorithm
- 算法，k-mean搜索方法，执行起来很快，推荐。-Algorithm, k-mean search methods, to implement quickly, recommended.
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
K-mean
- 一个用C++写的简单的k-mean算法源码-A C++, written in a simple k-mean algorithm source code
c
- k-mean算法的vc程序，比较简练，适合初学者使用-k-mean algorithm vc program
k-meanAlgorithmforsegmentationofdigitalimage
- k-mean Algorithm for segmentation of digital image
k-means_ColorImage_Segmentation
- This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
K-mean
- K-mean algorithm,very simple but efficient
K-means-cSharp--code
- 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-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
K-mean
- 基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
k-mean
- 实现K-mean算法，并用一些数据进行说明-Implement K-mean algorithm, and described by some data
K-mean
- K-MEAN算法的实现，给定模式样本进行两个聚类中心的聚类。-The K-MEAN algorithm, the clustering of a given mode samples the two cluster centers.
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
k-mean+k-medoids
- 机器学习中的两个基本算法，k-means 和k-medoids 通过学习英文课件，更好的理解算法内涵(Machine learning in the two basic algorithms, K-means and k-medoids through learning English courseware, better understanding of the algorithm connotation)
K-means
- 用matlab实现k均值算法，不用库函数(Implementation of K mean algorithm)