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This files are related to implementation of the article entitled "Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation".
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模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富-Unsupervised fuzzy clustering analysis as the main machine learning techniques is the use of fuzzy t
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智能计算主要程序源码，有matlab的模糊聚类图像分割，还有VC++编写的模拟退火和遗传算法。-Intelligent Computing The main program source code, there is matlab fuzzy clustering image segmentation, as well as VC++ Prepared simulated annealing and genetic algorithms.
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integrated spatial fuzy clustering with level set methods for automated medical image segmentation
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Kmean clustering for image segmentation
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粒子图像分割及匹配均为自行编制的子例程，包含收发两个客户端的链路级通信程序,基于欧几里得距离的聚类分析。- Particle image segmentation and matching subroutines themselves are prepared, Contains two clients receive link-level communications program, Clustering analysis based on Euclidean distance.
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粒子图像分割及匹配均为自行编制的子例程，采用累计贡献率的方法，基于欧几里得距离的聚类分析。- Particle image segmentation and matching subroutines themselves are prepared, The method of cumulative contribution rate Clustering analysis based on Euclidean distance.
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用自组织映射网络进行聚类分析，然后可以用于颜色识别，图像分割(Clustering analysis using self-organizing mapping network can then be used for color recognition, image segmentation)
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