K-mean supervised cluster was done for 10 training cases and additional 20 testing cases based on the set of differential genes.

We used the improved K-mean method to estimate the parameters and the margin linear method for smoothing parameter results in frequency statistics.

在统计词频方面，本文使用了改进的K均值方法对参数进行估计，并采用线性差值法对参数结果进行平滑处理。

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The main study of article is: ( 1) A fast method for fractal image coding based on K-mean clustering is proposed.

主要工作如下：（1）基于K均值聚类的快速编码算法。

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The K-mean cluster analysis is used to classify the process data and obtain the data sets under various steady operating condition.

提出了一种适用于火电厂生产过程的改进PCA故障检测方法：首先用K均值聚类分析方法对过程数据进行分类得到各稳态工况下的数据；

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K-mean methods are usually sensitive to initial clustering centers and propose bad results for irregular distributed samples.

K-均值算法受初始聚类中心的选择影响较大，对于不规则分布的样本往往聚类的效果不佳。

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The k-mean cluster is used for the clustering of the time series. The results show the efficiency of the algorithm.

将k-平均（k-mean）聚类算法应用于分段线性化表示的时间序列，聚类结果表明算法非常有效。

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Fast Fractal Coding by Combining K-Mean Clustering and KD-Tree Search

结合K均值聚类和KD-Tree搜索的快速分形编码方法

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A K-mean and Markov random field combined classification algorithm is presented for the coherence map classification.

提出了基于K-均值-Markov随机场的干涉SAR相关系数图组合分类算法。

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The K-mean clustering algorithm is improved in class centers initialization for fast convergence.

同时对K-均值聚类算法的初始值设定进行了改进以提高收敛速度。

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Segmentation of Caption Region Using Wavelet Transform and K-Mean Clustering

利用小波变换和K均值聚类实现字幕区域分割

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Application of Fuzzy of K-mean Cluster Analysis on the Classification Research of Acid-base Properties of Compounds

模糊K均值聚类分析在化合物酸碱性分类研究中的应用

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Metal Artifact Reduction in CT Using K-Mean Cluster Algorithm

基于K均值聚类算法的CT图像金属伪影去除

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K-mean distance outlier factor detect for outlier pattern of time series

时间序列异常模式的k-均距异常因子检测

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Micrograph Segmentation of Chinese Traditional Medicine Lamina Based on K-mean Clustering Algorithm

基于K-均值聚类算法的中药叶片显微图像分割

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K-mean algorithm for optimizing the number of clusters based on particle swarm optimization

基于微粒群优化聚类数目的K-均值算法

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The fast K-mean image segmentation algorithm based on the grey histogram

基于灰度直方图的快速K-MEAN图象分割算法

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A Double k-Mean Clustering Algorithm for Sequential Gene Data Based on the Hidden Markov Model

基于隐马尔可夫模型的二次k-均值基因序列聚类算法

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K-Mean Cluster Particle Swarm Optimization Algorithm Based on Self-adaptive Chaotic Mutation

基于自适应混沌变异的k-均值聚类粒子群算法

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Research on Comparing the Sequential Learning with Batch Learning for K-Means

K-Means聚类中序列模式和批量模式的比较研究

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A super-peer P2P model based on K-means clustering

一种基于K-means聚类分组的P2P超结点模型

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K-means Clustering Based on Evolution Strategy

基于进化策略的K-means聚类算法

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