搜索资源列表
k-means
- 一个聚类的小算法。关于K-SUMMARY的，基于K-MEANS的该军-A small clustering algorithm. About K-SUMMARY-based K-MEANS of the Army
k-means
- k-means算法，用于聚类,是一种机器学习的典型算法- k-means, used to clustering
K-Means
- K-means 动态聚类算法，在人工智能、神经网络中应用非常广泛-Dynamic K-means clustering algorithm in artificial intelligence, neural network is widely used in
Exterme_k_means
- Extreme k-means，被yuboYuan提出，给定初始聚类中心，聚类快。-Extreme k-means,poposed by yuboYuan，the intial center is fixed, faster than traditional k-means
ProgramForClustering
- 分层聚类和k-means聚类代码 commandline输出-Hierarchical clustering and k-means clustering code commandline output
K-average(N-dimension)
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类，代码中附加了详细的原理性说明，还有相关例子提示，效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
11
- K均值，随机产生一组数据并加以聚类，是学习图像处理的基础-K-means, random values, and clustering
K-Means-algorithm-source-program
- c++源码K-Means动态聚类算法源程序。，希望对工程应用有帮助。-K-Means dynamic clustering algorithm source program ,I hope it will be helpful.
k_means-algorithm
- k-means算法是模式识别十大算法之一 matlab仿真的k-means聚类算法-k-means algorithm for pattern recognition algorithm is one of the top ten k-means clustering algorithm
K_means
- 用于实现K-MEANS聚类分析的C++代码-Used to implement the K-MEANS clustering analysis of the C++ code
k_means
- 用matlab实现k-means聚类算法，本程序将随机数据点分为三类-Using matlab to achieve k-means clustering algorithm, the program will randomly divided into three categories of data points
K-Mean-Clustering-Code-in-Matlab
- k 均值聚类算法 ，能有效的将数据分成k类 但是具有k参数难以确定的缺点。 -k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
SimpleKMeans
- 数据挖掘中经典的k means聚类算法实现-kmeans cluster
K-means
- k-means算法实现，对于要聚类的数据，可以对代码进行更改，读入自己的数据-This code implentents the K-means algorithm
K
- K 均值聚类程序，可以进行K均值聚类，是模式识别的一个重要算法-K-means clustering procedure, the K-means clustering is an important pattern recognition algorithm
K-means-clustering-experiments
- 经过一周的深入学习和参考本站的资料，对K均值进行了改进。可以针对简单的二维的矩阵进行任意中心个数的聚类，并且能够生成图像。-K-means clustering experiments
k-means
- c++实现k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类-c++ k-means algorithm, display the cluster result on the two demension
SC_demo
- 整理图像特征点提取和分类的程序（可以作为场景分类的前期工作），自己调试过能运行，特征点提取用的SIFT算法，使用K-means聚类算法，将得到的20个聚类中心写入txt文本中-Finishing the image feature point extraction and classification procedures (which can be as the preparatory work of the scene classification), their own debugging
k-means-in-java
- k-means算法的java描述，用java语言编写的k-means算法，用于聚类和分类-K-means algorithm java is described, using java language k-means algorithm, for clustering and classification
K-means-clustering-experiments
- k-means算法实现，数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.