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EXO2ET3
- K均值算法和K近邻算法，以及用MATLAB实现相关例子。-K-means algorithm and the K-nearest neighbor algorithm, and using MATLAB relevant examples.
clustering
- The algorithm "clustering" is an anomaly detection algorithm. It overcomes two shortcomings of K-means: number of clusters dependency and degeneracy. -The algorithm "clustering" is an anomaly detection algorithm. It overcomes two shortcomings of
ruqinjiance
- 使用K-Means算法对KDD Cup 1999数据集进行聚类分析，建立简单的入侵检测模型；利用入侵检测模型对测试数据进行预测-K-Means algorithm using KDD Cup 1999 data sets cluster analysis, create a simple intrusion detection model use of intrusion detection model to predict the test data
K-means-
- k-means算法，进行聚类分析的实用算法，通过分析和实例，证明了算法的实用性-K-means algorithm, a practical algorithm of clustering analysis, through analysis and examples, proves the practicability of the algorithm
dbscan
- linux c 实现k-means算法，利用这个源码，可以对数值类数据进行聚类，达到我们期望的效果-linux c achieve k-means algorithm, using this source, you can type data values are clustered to achieve our desired effect
nei_ki46
- D-S evidence theory data fusion, K-means clustering algorithm based on the PSO, Undergraduate complete set requirements refer to the standard test models.
vs244
- You can get a very accurate amplitude, frequency, phase estimation, K-means clustering algorithm based on the PSO, matlab development toolbox support vector machine.
K均值聚类
- K均值聚类算法-对数据进行聚类分析，适合数据处理(k means clustering algorithm)