fuzzy k-means algorithm 模糊k均值算法
improved K-means algorithm 改进的K
Parallel K-Means Algorithm 并行K
spherical k-means algorithm 球形的k
K-means algorithm is a classical clustering algorithm.
平均算法是经典的聚类算法。
Traditional K-Means algorithm is sensitive to the initial centers and easy to get stuck at locally optimal value.
传统K均值算法对初始聚类中心敏感，聚类结果随不同的初始输入而波动，容易陷入局部最优值。
Researched the unsupervised anomaly detection methods based on clustering analysis, improved the K-means algorithm.
研究了基于聚类分析的非监督式异常检测方法，并改进了K均值算法用于聚类分析。
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