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聚类算法的具体步骤分析，关于k-means算法-Clustering analysis of the concrete steps on the k-means algorithm
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本文对K-means 和CURE聚类算法的算法思想和优缺点进行了深入的理论研究，并对这两类算法的性能进行了分析与比较。-In this paper, and K-means clustering algorithm CURE thinking and the advantages and disadvantages of an in-depth theoretical study and performance of these two types of algorithms are analy
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模式识别c均值聚类，也陈k均值，是模式识别中最最要的聚类方法之一。-Pattern Recognition, c-means clustering, and Chen k means, is far the most to the clustering pattern recognition methods.
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k-means clustering merupakan clustering non-hierarki
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In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
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数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
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K-Means Clustering implementation
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This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matr
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K-means clustering implementation document
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用VC或Java实现K-means聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验），提交实验报告与源代码。-K-means clustering algorithm for algorithm termination conditions, with a picture (their choice) as a data set to compare the running
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Brain MR Image segmentation using k-means clustering
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k-means聚类方法
编写k-means聚类方法对这些点进行聚类-k-means clustering method to write k-means clustering method to cluster these points
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K-means实现数据聚类，其中包括数据维度，数据分类数-K-means clustering data, including data dimensions, data classification number, etc.
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针对目前传统的枸杞分级主要采用人工方法， 费时费力且效率不高的缺点， 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 ， 从而提取枸杞的色泽、 大小及形状等特征
参数； 用 K-means 算法对特征进行聚类， 得到枸杞相应等级的基准； 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 ， 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting
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rbf神经网络k均值聚类分析程序，时间序列预测方面应用。程序简洁易懂。-rbf neural network k-means clustering analysis procedures, time series forecasting applications. The program easier to understand.
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基于K均值的PSO聚类算法,可以提取一幅图中想要的目标，关于超声波倒车雷达测距的。- K-means clustering algorithm based on the PSO, Target can be extracted in a picture you want, About ultrasonic parking radar ranging.
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基于K均值的PSO聚类算法,能量熵的计算，基于混沌的模拟退火算法。- K-means clustering algorithm based on the PSO, Energy entropy calculation, Chaos-based simulated annealing algorithm.
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一个计算声子晶体结构的一维传递矩阵法,基于K均值的PSO聚类算法,真的是一个好程序。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, K-means clustering algorithm based on the PSO, Really is a good program.
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混沌的判断指标Lyapunov指数计算,基于K均值的PSO聚类算法,通过matlab代码。- Chaos indicator for Lyapunov index calculation, K-means clustering algorithm based on the PSO, By matlab code.
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IMC-PID是利用内模控制原理来对PID参数进行计算，基于K均值的PSO聚类算法,对于初学者具有参考意义。- The IMC- PID is using the internal model control principle for PID parameters is calculated, K-means clustering algorithm based on the PSO, For beginners with a reference value.
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