利用主分量分析和K -均值聚类分析的方法，对我国东部夏季雨带进行客观的气候分类。
Utilizing the principal component and K-mean cluster analysis, the summer rain belts in eastern China have been classified.
提出了一种基于聚类分析方法构建入侵检测库的模型，实现了按k -平均值方法建立入侵检测库并据此划分安全等级的思想。
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
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。
Researched the unsupervised anomaly detection methods based on clustering analysis, improved the K-means algorithm.
然后对因子得分进行聚类分析和多重均值比较，观察不同人群聚类状况及稳定状况之不同。
And then factor scores to cluster analysis and multiple comparison of means to observe the different groups of people clustering of the different conditions and a stable condition.
在聚类分析中，模糊k均值算法是目前应用最为广泛的方法之一，然而该算法对初始化敏感，容易陷入局部极值点。
In cluster analysis, Fuzzy K-Means (FKM) algorithm is one of the most widely used methods. However, FKM algorithm is much more sensitive to the initialization, and easy to fall into local optimum.
针对模糊c -均值算法在汽轮机故障诊断中的不足，提出了粒子群优化加权模糊聚类分析的方法。
Aimed at the disadvantages of fuzzy C-means in fault diagnosis of steam turbine set, a weighted fuzzy clustering method based on particle swarm optimization is put forward.
然后利用模糊C均值聚类对输入特征值进行聚类分析，不同平整度等级的织物模板被分属于不同的模糊聚类中心；
Then, FCM is applied to analyze the input wrinkle feature value. Different wrinkle grade of fabric replica is attributed different fuzzy cluster center.
然后利用模糊C均值聚类对输入特征值进行聚类分析，不同平整度等级的织物模板被分属于不同的模糊聚类中心；
Then, FCM is applied to analyze the input wrinkle feature value. Different wrinkle grade of fabric replica is attributed different fuzzy cluster center.
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