搜索资源列表
Kmeans2_k2
- 对给定的一组数据点采用k均值进行划分，并用散点图表示了出来-A set of data points in a given using k-means partition, and a scatter diagram
Quantum-particle-cluster-algorithm
- 量子粒子群的聚类算法，一种新的数据聚类算法，用于数据聚类，和k均值聚类，和粒子群聚类比较有更好的效果-Quantum particle cluster algorithm
2k-means
- 基于matlab的二分k均值聚类算法，经过仿真实验成功。-Bipartite k-means clustering algorithm based on matlab, after successful simulation.
Kmean
- 在matlab下的k-均值聚类进行图像分类分割处理-In matlab under the k-means clustering for image classification be dealt with separately
evaluation
- 基于MATLAB编写的集对分析与K均值聚类相结合的环境风险评价方法，熵权法作为指标权重确定方法。-MATLAB based on set prepared for analysis of environmental risk assessment and K-means clustering method of combining, entropy law as a method of determining the index weight.
kmean_python
- k均值的python代码，用于了解学习k均值算法-kmean algorithm python source code
MachineLearning
- 用来对鲍鱼进行聚类的K均值算法，聚类结果以平行坐标系方式显示。-K-means clustering algorithm is used for abalone, the clustering results in a parallel coordinates display mode.
Desktop
- K均值聚类算法，对风电机组功率数据进行聚类分析，包括详细的程序说明。 只要把这两个文件放入一个空文件夹下，在MATLAB中执行m文件，就可得到聚类结果。-K-means clustering algorithm, the wind turbine power data clustering analysis, including a detailed descr iption of the procedures. As long as these two files into an empt
KSVD
- 字典学习中，采用奇异值分解和k均值方法训练数据得到字典的算法。-Dictionary learning, using singular value decomposition and k-means algorithm training data obtained dictionary.
Kmeans
- K均值聚类分析的matlab算法程序，用于对一系列的数据点进行聚类分析。-K-means clustering algorithm MATLAB program.
cluster-test-VO.2
- 基于C++语言，利用K均值及其改进方法实现短文本的聚类，其中利用最远距离法实现的聚类中心初始化-Based on the C++ language, the use of K-means clustering and improved methods to achieve short text clustering centers which use the law to achieve the most remote initialization
Ch10
- 这是机器学习中k均值聚类的源码希望有需要的同学一起交流。-This is the exchange of machine learning in k-means clustering source code that are in need of the students.
123
- 该程序实现K-均值聚类算法达到K-均值聚类的功能，与凝聚算法 最近邻聚类算法达到最邻聚类的功能。 -The program implements K- K- means clustering algorithm to achieve functional means clustering, and cohesion algorithm- nearest neighbor clustering algorithm to achieve the most-neighbor clustering.
K-means-cluster
- k-means算法是一种动态聚类算法，基本原理如下[24]：首先预先定义分类数k，并随机或按一定的原则选取k个样品作为初始聚类中心；然后按照就近的原则将其余的样品进行归类，得出一个初始的分类方案，并计算各类别的均值来更新聚类中心；再根据新的聚类中心对样品进行重新分类，反复循环此过程，直到聚类中心收敛为止。-K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: fi
Kmeans
- 按照模式识别一书，实现k均值聚类的matlab版本代码-According to the book Pattern Recognition , implement k-means clustering matlab version of the code
K_means
- 一种聚类方法，K均值聚类。一种简单的聚类方法-K means
adfagf
- K-均值类算法的matlab源码，很实用，注解详细-K- mean class algorithm matlab source code, very practical, detailed notes
kemanstuxiang
- 利用K均值聚类算法进行图像分类的基本方法，将模式识别方法与图像处理技术相结合，-Using K means clustering algorithm to carry out the basic method of image classification, the pattern recognition method and image processing technology,
Mymeans
- k-means（k均值聚类）,使用R语言实现，分类的准确度跟自带的差不多-k-means written by myself
FCM(Matlab)
- FCM K均值聚类算法的matlab实现 ，-FCM matlab