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用c++实现的CURE聚类算法 这是即DBSCAN算法后出现的基于密度的聚类算法,With c++ Realized CURE clustering algorithm DBSCAN algorithm that is, this is occurring after the density-based clustering algorithm
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kmeans均值聚类算法c语言版，最基础的实现，经过编译调试通过的,c-means clustering algorithm kmeans language version of the realization of the most basic, after debugging the compiler through the
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基于蚁群算法的模糊C均值聚类医学图像分割方法的研究,Ant colony algorithm based on Fuzzy C-Means Clustering Method for Medical Image Segmentation
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极大熵聚类算法的C++实现，输入为二维矩阵，修改宏定义可实现多维-Maximum Entropy Clustering Algorithm C++ implementation, the input for the two-dimensional matrix, can be modified to achieve multi-dimensional macro definition
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遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
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k均值聚类算法，并包含了对该算法的一些优化，使用c语言进行程序的编写-k means clustering algorithm, using the procedures for the preparation matlab
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数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
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K-均值聚类算法 vc++图形演示程序-K-means clustering algorithm c++ demo program
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K均值聚类算法
C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
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K-means均值聚类算法,用C语言实现
k-均值聚类算法
-Means K-means clustering algorithm, using C language realization of k-means clustering algorithm
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层次聚类算法的c++实现，输入分类个数，可以得到相应的分类结果-Hierarchical clustering algorithm to achieve the c++, enter the classification number, you can get the classification results
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基于背景差分算法和C均值聚类算法的车辆检测与跟踪-Based on background difference algorithm and C means clustering algorithm for detecting and tracking vehicles
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K-means K聚类算法的C++语言实现，里面附有使用文档和实例，在VS2005上实现的-K-means K clustering algorithm C++ language, which accompanied with documentation and examples implemented on the VS2005
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使用VS2005编写的MFC应用程序，实现了基于C均值聚类算法 和 ISODATA聚类算法 。具有直观人性化测试界面。-Written in MFC using VS2005 application, implementation based on C-means clustering algorithm and ISODATA clustering algorithm. With an intuitive user-friendly test interface.
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k-均值聚类算法c语言版用于划分聚类，适合用于数据挖掘之中-k-means clustering algorithm c language version
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遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format
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对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
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c语言的k均值聚类算法。给定类的个数K，将N个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小的算法。-c language, k-means clustering algorithm. Given the number of categories K, will be assigned to N objects of class K to make class the similarities between objects the most, while the cat
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通过c语言实现k_mean聚类算法，是最简单的聚类算法，欢迎参考-Through c language k_mean clustering algorithm, is the simplest clustering algorithm, welcome reference
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FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest simila
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