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基于改进模糊聚类算法鲁棒的图像分割 对噪声图像提出的一种改进算法,Based on robust fuzzy clustering algorithm to improve the image segmentation
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在图像分割中，运用遗传聚类算法实现图像分割并讨论分割结果-In image segmentation, the use of genetic clustering algorithm to achieve image segmentation and discuss the results of Segmentation
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介绍了基于C均值聚类和基于核函数的C均值聚类两种图像分割的方法-Introduced based on the C-means clustering, and Kernel-based C-means clustering two kinds of image segmentation methods
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ieee paper on segmentation with clustering
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基于模糊C均值聚类和减法聚类结合的图像分割-Based on fuzzy C means clustering and subtractive clustering image segmentation combining
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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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基于关键词的Web文档自动分类算法研究,文档关键词，语义相似度，聚类算法，知网，拓扑网络图，中文分词-Keyword-based Web Document Classification Algorithm, document keywords, semantic similarity, clustering algorithm, HowNet, topological network diagrams, Chinese word segmentation
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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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Brain MR Image segmentation using k-means clustering
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image segmentation from c-means clustering
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mean shift 算法聚类和分割，可以用来处理图像-mean shift algorithm clustering and segmentation, can be used to deal with image
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Generalized Spatial Kernel based Fuzzy C-Means
Clustering Algorithm for Image Segmentation
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IMAGE SEGMENTATION BY FUZZY C-MEANS
CLUSTERING ALGORITHM WITH A NOVEL
PENALTY TERM
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K-means clustering based segmentation
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基于matlab的彩色图像分割，方法是K-means聚类分割-Matlab-based color image segmentation method is K-means clustering segmentation
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Breast Cancer Data Clustering using various segmentation algorithms.
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This paper presents an analytical study on different clustering techniques used for image segmentation
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均值滤波聚类方法，对语音信号的分割和识别的一种有效方法-Average filtering clustering method, segmentation and recognition of speech signal is an effective method
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spectral clustering ensemble to SAR image segmentation.
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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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