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KMeansV
- k-means聚类算法在二维平面上的可视化实现 聚类时可以设置类数和迭代阈值 聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clustering results using color and clas
kmeans
- 基于matlab的K-means聚类算法的实现以及二维随机点的聚类结果-Matlab-based K-means clustering algorithm
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
K-MEANS-N
- 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.-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points.
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
Desktop
- k均值聚类及自组织映射（SOFM）算法应用 二维模式矢量的分类-k-means clustering and self-organizing map (SOFM) algorithm is applied two-dimensional mode vector classification
[emuch.net]K-means
- 简易k-means聚类算法实例，针对二维数据，自带简易数据矩阵，分析结果有输出图像。-Simple k-means clustering algorithm example, for two-dimensional data, comes with simple data matrix, analysis results output image.
k-meansaSOFM
- 已知一组二维模式矢量如下（20个）,利用k均值聚类算法将模式集分类，并计算出聚类中心。利用输入层为2个神经元，输出层结构为7*7方阵的自组织映射（SOFM）对同样模式进行聚类-Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster cent
k-means
- 这是k-means聚类算法的matlab仿真实现,程序中分别有二维控件和三维空间基于k-means的聚类demo-This is k- means clustering algorithm of matlab simulation implementation, respectively in the program have two-dimensional controls and three-dimensional space based on k- means cluster demo
jiefei_v43
- 基于K均值的PSO聚类算法,旋转机械二维全息谱计算的实用例程，可直接计算得到多重分形谱。- K-means clustering algorithm based on the PSO, Rotating Machinery dimensional hologram of practical spectrum calculation routines, It can be directly calculated multi-fractal spectrum.
hingpai_v21
- 计算多重分形非趋势波动分析matlab程序,基于K均值的PSO聚类算法,旋转机械二维全息谱计算。- Calculation multifractal detrended fluctuation analysis matlab program, K-means clustering algorithm based on the PSO, Rotating machinery 2-d holographic spectrum calculation.
K-MEANS
- k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation
fiefao_v36
- 最大信噪比的独立分量分析算法，利用最小二乘算法实现对三维平面的拟合，基于K均值的PSO聚类算法。- SNR largest independent component analysis algorithm, Least-squares algorithm to fit a three-dimensional plane, K-means clustering algorithm based on the PSO.
nenpui
- 基于K均值的PSO聚类算法,对信号进行频谱分析及滤波，利用最小二乘算法实现对三维平面的拟合。- K-means clustering algorithm based on the PSO, The signal spectral analysis and filtering, Least-squares algorithm to fit a three-dimensional plane.
qengmou
- Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,用平面波展开法计算二维声子晶体带隙。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Computation Method D phononic bandgap plane wave.
niumen
- 利用最小二乘算法实现对三维平面的拟合，基于K均值的PSO聚类算法,关于神经网络控制。- Least-squares algorithm to fit a three-dimensional plane, K-means clustering algorithm based on the PSO, On neural network control.
paosan
- 可实现对二维数据的聚类，应用小区域方差对比，程序简单，基于K均值的PSO聚类算法。- Can realize the two-dimensional data clustering, Application of small area variance comparison, simple procedures, K-means clustering algorithm based on the PSO.
K_means
- MATLAB实现的k-means聚类算法，自带测试以及数据集，数据集分为二维和三维数据。-k-means clustering algorithm implemented in MATLAB, and has a test data set, the data set is divided into two and three dimensional data.
k-means
- 简单实现聚类算法中的经典k-menans算法，实现数据是二维数据- U7B80 u5B5 u5B9 u7B0 u803A u7R09 u7B09 u7B09
k-means-matlab
- 利用k-means算法实现二维平面点的聚类，包括了运行源代码和结果图(The k-means algorithm is used to realize the clustering of two-dimensional plane points, including the running source code and the result graph)