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FCM_Ju_lei_suan_fa
- 该文件包含了一般的FCM聚类算法和改进的FCM聚类算法-The document contains a general FCM clustering algorithm and the improved FCM clustering algorithm
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
clus
- 极小化误差平方和算法聚类源代码，下载后直接运行就可以了-Minimizing the error sum of squares clustering algorithm source code can be run directly after downloading the
matlab实现Kmeans聚类算法
- matlab实现Kmeans聚类算法,一个文档可以学着自己编程序是实现聚类分割
聚类程序
- 几种聚类的程序，适合初学者，对目标空间中的点进行分类，效果很好(Several clustering procedures, suitable for beginners)
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
dbscan_for_data_upload
- Matlab语言写的经典聚类算法DBSCAN(the classical algorithm DBSCAN in Matlab)
聚类分类实验
- 利用相似性准则和聚类准则函数，C-均值聚类算法，实现模式识别中的分类(By means of similarity criterion and clustering criterion function, C- mean clustering algorithm is used to realize classification in pattern recognition)
chameleon
- 一段修改后的变色龙聚类算法，可用于无监督聚类。(A modified chameleon clustering code, using matlab.)
基于遗传模拟退火算法的聚类算法
- 基于遗传模拟退火算法实现数据的聚类，为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
k_medoids
- 采用MATLAB实现k-medoids聚类算法(Implementation of k-medoids clustering algorithm using MATLAB)
SSC
- 基于稀疏表征的子空间聚类算法，是vidal的算法的MATLAB实现(The subspace clustering algorithm based on sparse representation is the MATLAB implementation of vidal's algorithm)
julei
- 聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。 这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。(The clustering algorithm is given to a large number of original data, and then the data with similar features are gathered into a class by algorithm. The K-mean
机器学习西瓜书聚类程序
- 根据周志华机器学习203页的图9.2编写的matlab程序。xgP203.m是主程序。中间有一些是为了验证算法，输出了一些运算结果。
MeanShiftCluster
- 该算法实现了均值漂移聚类算法，在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
模糊C均值算法
- 亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
k聚类算法
- 基于matlab的K聚类分析算法，中心聚类对数据进行分类(Matlab based K clustering analysis algorithm)
AP聚类
- AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。(AP clustering algorithm is a kind of clustering algorithm based on "information transfer" between data points. Unlike the k- mean algorithm or the k center point
EWKM
- 子空间聚类算法EWKM (Entropy Weighting K-Means) 在matlab上的实现。(Entropy Weighting K-means which is one of the subspace clustering algorithm written in Matlab.)
kjunzhijulei
- 说明K均值聚类算法的流程，并用matlab实现K均值聚类功能(Using MATLAB to implement function of K-means clustering)