搜索资源列表
cnwkf
- Mainly based on the mtlab procedures, K-means clustering algorithm based on the PSO, ECG data and includes source code written in MATLAB.
rbauc
- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, K-means clustering algorithm based on the PSO, Consider shadow rain attenuation and multipath effect.
K-means-master
- KMEans Clustering Algorithm
ercm
- Determination of number of clusters in K-Means Clustering and()
K-means
- Kmeans聚类算法的java实现方法，比较简洁。(Java implementation of Kmeans clustering algorithm)
accord-machinelearning-clustering-(k-means)
- Accord.NET环境下的Kmeans聚类实例。(Kmeans clustering example under the Accord.NET environment.)
数据挖掘
- 一个简单的程序让你快速了解K-Means算法(A simple program allows you to get a quick understanding of the K-Means algorithm)
tesk-distinguish-multi_tasking
- 高效的k-means算法实现,使用了k-d树与局部搜索等提高k-means算法的执行效率,同时包含示例代码,用c++代码实()
k_means
- 一般的常规的k均值聚类，源码，没有数据，随便输入一个数据体就可以(General conventional k-means clustering, source code, no data, just enter a data body can)
MeanShiftCluster
- 该算法实现了均值漂移聚类算法，在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
9084139
- 用MFC开发的简单的k-means实现代码,原创啊()
1
- 该方法采用gabor提取出图像纹理特征，最后采用k-means方法聚类进行图像分割(The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation)
cosc_v1_1
- this source is available to clustering a set of data by k-means algorithm.
PSO_Kmeans
- K-means聚类算法，基于PSO改的聚类算法，对初始点的选择进行优化(K-means clustering algorithm, based on PSO modified clustering algorithm, optimized the selection of the initial point.)
fuzzystring-master
- Dataming K-means clustering using heart attack prediction
julie
- 基于K-means聚类算法的图像区域分割的程序实现(Cluster the function image.)
EWKM
- 针对于高维稀疏的子空间数据，并进行了加权熵处理(Aiming at the high-dimensional sparse subspace data, weighted entropy processing is carried out.)
software_test_1
- k 聚类算法 这是一个C++简易的k聚类算法，(this is a easy k-means calculation)
Untitledk
- k-means聚类分析，用于聚类分析算法，距离聚类(K-means cluster analysis)
qam_16_kmeans
- 1. 在matlab中，对k均值聚类算法的原理进行仿真实现； 2. 在不同信噪比下，比较接收QAM信号的星座图； 3. 对接收的星座图使用K均值算法进行均衡，比较使用算法和不使用算法直接解调的误码率。(1.we simulate the principle of K means clustering algorithm in MATLAB. 2. the constellation diagram of receiving QAM signals is compared at