Experiments using artificial data and actual business data testify the validity of this method. It can improve the traditional K-means effect well.
采用人工数据和实际商业数据的实验证明该方法能有效地改善传统的聚类效果。
The clustering method based on partitioning is mainly included K-Means and K-Medoids; the other methods are the mutation of these two methods.
基于划分的聚类算法主要有K均值和K中心点算法，其他的方法都是这两种算法的变种。
The function model of the multiquadric's central node to choose to do an in-depth discussion, put forward the "Adaptive location" to match the characteristics of the K-means clustering method.
对函数模型法中的多面函数中心节点的选择做了深入讨论，提出了具有“位置自适应”匹配特点的K均值聚类法。
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。
The relationship between yield and fertilizer application was studied by means of "3414" method under different amounts of N, P and K applied .
采用“3414”试验方法研究了油菜在不同氮、磷、钾肥施用量组合下，油菜产量与施肥的关系，应用回归效应方程寻找最优施肥量组合。
The design method of ternary Johnson counter with automatic correction is presented by means of ternary K-map minimization.
在此基础上，进一步提出了借助于三值K图化简技术，设计具有自校正功能的三值扭环形计数器的方法。
Method: The effects of n, p, K and sowing norm were studied by means of 4 factors and 3 levels orthogonal design experiments.
方法：采用4因子3水平正交组合试验与单因素试验进行研究。
Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.
最后，试验证实了图像分割办法基于云模型比该办法基于模糊凯西意味着聚类和办法基于凯西的办法。
Firstly, RAC and K-means clustering method are combined in this algorithm by the way of searching pre-matches feature points, which are called the cluster point set, of the unknown model.
此算法首先结合RAC和K -均值聚类方法对未知模型的特征点进行预匹配，得到的匹配结果称为聚类点集。
Thermal stability of 3 home-mades ( ASHPET) were studied by means of TGA method and was compared with that of PET and K - COP.
利用热重分析法（TGA）对自制的碱水易溶聚酯（ASHPET）的热降解动力学进行了研究，并与常规PET和国外某公司碱水易溶聚酯（K-COP）进行了比较。
This paper proposes a method based on Principal Component Analysis (PCA) combined with improved K-means for action potential classification.
基于此，提出基于主元分析(pca)和改进K均值相结合的动作电位分类方法。
A new algorithm method of image enhancement based on K-means clustering is presented, according to the characteristics of infrared gray-image.
根据红外灰度图像的特点，提出了一种基于K -均值聚类的图像增强的新算法。
After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.
本文在分析传统聚类算法的基础上，提出了一种聚类融合算法。
A clustering segmentation algorithm based on an improved K-means clustering method is used to improve the efficiency and accuracy of 3d medical image segmentation.
为提高三维医学数据场的分割效率和准确率，本文利用特征聚类技术，提出了一种新的基于改进K - means聚类的三维医学数据场的体分割算法。
A clustering segmentation algorithm based on an improved K-means clustering method is used to improve the efficiency and accuracy of 3d medical image segmentation.
为提高三维医学数据场的分割效率和准确率，本文利用特征聚类技术，提出了一种新的基于改进K - means聚类的三维医学数据场的体分割算法。
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