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k-means聚类算法的C++实现程序，简单好理解。-k-means clustering algorithm to achieve C++ program, a simple easy to understand.
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模糊C均值聚类算法的步骤还是比较简单的，模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy c-means clustering algorithm steps it is quite simple, fuzzy c-means clustering (FCM), known as fuzzy membership ISODATA, it is to use to make sure that each data po
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C++实现的简单的k均值聚类算法。最基本的聚类算法。-Kmeans clustering algorithm using VC++. It is one of the most fundamental algorithms.
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聚类算法中的经典k均值用c++实现的，测试结果还不错-Classical clustering algorithm k means in c++ implementation with the test results is not bad
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IsoData聚类算法的C++实现，可以用于实际工作和学习中-IsoData clustering algorithm C++ implementation can be used for practical work and learning
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G-means的动态聚类算法，用c语言编写，比较长，大家-G-means of the dynamic clustering algorithm, using c language, relatively long, we look
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k-means算法，经典的聚类算法，可以用于聚类，是用C++编写的-k-means algorithm, the classical clustering algorithm, can be used for clustering, is written in C++
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实现模糊聚类，在c-means的基础上改进的聚类算法-The fuzzy clustering, in the c-means based on the improvement of the clustering algorithm
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使用c－均值聚类算法在IRIS数据上进行聚类分析-C-means clustering algorithm using IRIS data in the cluster analysis
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一种子空间聚类的算法，此算法属于子空间聚类算法-a monte caro algorithm for fast projective clustering，C. M. Procopiuc, M. Jones, P. K. Agarwal and T. M. Murali， Proceedings of the 2002 ACM SIGMOD international conference on Management of data
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Document clustering algorithm written in c
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vector quantizationclusterdemo.m - clustering algorithm demonstration program mfiles used: datagen.m clear all clf generate some data using datagen.m, kmeansf.m Nvec: (1xclass) # data in each of the c gaussian distr. mean_var:
3 x class: mean (1s
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vector quantizationclusterdemo.m - clustering algorithm demonstration program mfiles used: datagen.m clear all clf generate some data using datagen.m, kmeansf.m Nvec: (1xclass) # data in each of the c gaussian distr. mean_var:
3 x class: mean (1s
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包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
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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 division, the idea is to make it to the same cluster is divided into the biggest similari
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One of the most critical issues in the wireless sensor networks is the network s nodes limited availability of energy. The network lifetime strictly depends on its energy efficiency.
Clustering is a method to make the consumed energy efficient. LEA
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FLICM是基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最新改进方法，其效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering
algorithm.
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c均值模糊聚类算法在matlab环境中的实现源码-fuzzy c-means clustering algorithm in matlab environment to achieve source
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K-均值聚类算法和分层聚类算法的C语言实现。包含有样本数据文件，适用于聚类算法的初学者。-K-means clustering algorithm and hierarchical clustering algorithm in C language. Clustering algorithms for beginners.
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用于实现K-MEANS聚类分析的C++代码-Used to implement the K-MEANS clustering analysis of the C++ code
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