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gmm
- background subtraction using kmeans and gmm
ueil381
- 自己做的一个kmean聚类程序,里面有例子和聚类程序()
KMean
- 里面包含了KMeans的算法实现，运行showRes.m程序可以即可运行并得到结果(It contains the KMeans algorithm implementation, running the showRes.m program can run and get the result)
work20180228
- 通过lsh-cd生成不同情景，并使用k均值筛选代表性情景，(Scenario generation, K mean screening representative scenarios)
kmean
- 确定K均值最佳聚类数，把数据导入后运行即可(Determining the best clustering number of K mean)
K_means
- Kmeans实现聚类分析，还有一个用模拟退火优化的Kmeans。(Kmeans implements clustering analysis.)
PSO_kmeans-master
- 利用改进的PSO算法对kmeans算子进行聚类，优化了步骤(The improved PSO algorithm is used to cluster kmeans operators, and the steps are optimized)