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在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类，遗传算法聚类分析，层次聚类和动态聚类等算法。可以运行，并有分类的源文件。是不错的研究素材。,In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clusterin
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分级聚类程序，可实现最小距离聚类法、最大距离聚类法、平均距离聚类法。,Hierarchical clustering procedure can achieve the minimum distance clustering, maximum distance clustering method, the average distance clustering method.
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This aplication is a visualizer, implementing an hierarchical clustering, using kmeans.
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内包含：模糊聚类 遗传算法聚类 层次聚类法的各方法以及动态聚类的各个算法 -Contains: Fuzzy clustering genetic algorithm clustering hierarchical clustering and dynamic clustering of various methods of the various algorithms
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成功完成了模式识别的监督和非监督方法包括：Fisher线性分类器，分级聚类算法等经典算法，程序易懂。-Successfully completed the supervision and unsupervised pattern recognition methods include: Fisher linear classifier, hierarchical clustering algorithms such as classical algorithm, the program easy
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Hierarchical clustering algorithm for Edge Detection in Medical Images
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分层聚类算法,类内采用最大距离，类间采用最小距离实现-Hierarchical clustering algorithm, the largest category within the distance, the minimum distance to achieve between classes
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• 有可用高斯分布近似的两个样本集
• 求：用最小错误概率分类时的识别界面
• 令
• 如距离取最远距离
试用分层聚类法聚类，并作图
-• Gaussian approximation is available both sample sets • Requirements: classification with minimum error probability of recognitio
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K-means 经典聚类算法，是在空间域进行聚类，属于层次聚类算法中的一种-Classical clustering algorithm, clustering in the spatial domain, belonging to a hierarchical clustering algorithm
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非刚性表面检测和配准。一种新的非刚性基于局部熵图匹配方法。-a novel high-order affinity graph is constructed to model the consistency of local topology. A hierarchical clustering approach is then used to locate the nonrigid surfaces
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本文的主要贡献是以线元为基本造型单位，运用动力学原理模拟瀑布的运动轨迹[9]，结合层次包围盒技术和建立聚类树加速粒子与障碍物之间的碰撞检测，并采用逐渐淡化融合的方法绘制粒子，形成了具有真实感的实时瀑布飞溅的效果。-Contribution of this article is based on the line for basic modeling unit, use the dynamics simulation trajectories of waterfall [9], combined
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hierchial clustering algorithm ! very usefu-hierchial clustering algorithm ! very usefull
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Contour Detection and Hierarchical Image Segmentation (UC Berkeley)
MATLAB/C++混编
Arbela?ez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine
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A New Approach to Hierarchical Clustering div hr div B 文件列表 B ： div di()
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