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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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This an article that can help you understand K-Means Clustering. Thx
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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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algorithm for k means clustering in matlab
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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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k-means clustering for image classification
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MS WORD document describing & comparing k means clustering and affinity propagation
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Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
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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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这是关于谱聚类在汉字聚类领域应用的文章，谱聚类表现出比k-means更好的聚类效果。-This is the article on the spectral clustering in the field of Chinese characters clustering, spectral clustering performance better than the k-means clustering effect.
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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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基于云计算平台Hadoop的并行k-means聚类算法设计研究-Parallel k-means clustering algorithm designed Hadoop cloud-based computing platform
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基于云计算平台Hadoop的并行k-means聚类算法设计研究-Parallel k-means clustering algorithm designed Hadoop cloud-based computing platform
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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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Randomized Dimensionality Reduction for k-means
Clustering
This paper makes further progress towards a better understanding of dimensionality reduction for kmeans
clustering. Namely, we present the first provably accurate feature selection met
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