搜索资源列表
K－Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
模糊C-均值（FCM）聚类算法Matlab实现
- 模糊聚类是一种重要数据分析和建模的无监督方法。简单概述模糊聚类的概念，介绍模糊C-均值（FCM）算法，并在matlab软件上对该算法进行仿真，结果表明，该算法设计简单，应用范围广，但改算法仍存在容易陷入局部极值点等问题，还需进一步研究
2-3-1.rar
- 聚类分析 算法的Matlab实现，可以对多参数的数据实现简单方面的分类，从而更好地了解数据结构。,Matlab cluster analysis algorithm to achieve, you can multi-parameter data for the realization of a simple classification, in order to better understand the data structure.
clusteranalysis.rar
- 简单且实用的聚类分析软件。在windows系统下安装后即可使用该软件。有较好的图形用户界面。,Simple and useful software for cluster analysis. In the system after the installation of windows to use the software. Better graphical user interface.
kmeans
- kmeans文本聚类算法的简单实现，是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
K-means
- 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
kmeans
- 聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
PR_SimpleClusteringP26
- 孙即祥：《现代模式识别》P.26：根据相似性阈值和最小距离原则的简单聚类方法MATLAB（另一种方法实现同一种算法）-SUN Xiang: " Modern pattern recognition" P.26: According to the similarity threshold and minimum distance principle of a simple clustering method MATLAB (another way to achieve the s
模糊C均值聚类（FCM）
- 模糊C均值聚类，matlab程序，简单易懂，程序可以运行。(Fuzzy C means clustering, Matlab code, easy to understand, the program can run.)
第4讲之1 聚类分析
- R语言方面的聚类分析简单介绍，适合初学者学习操作(Introduction to R cluster analysis)
聚类算法
- 简单的各种聚类算法，适合初学者学习！！！！(Simple clustering algorithm, suitable for beginners to learn!!!!)
聚类k-means
- 一个非常简单的kmeans算法，主要用于聚类分析，用户仅需要输入聚类数(A very simple kmeans algorithm, mainly for clustering analysis, users only need to enter the number of clusters)
聚类分析
- 该程序为聚类分析Matlab程序，简单好用，谢支持(The program for the cluster analysis Matlab procedures, simple and easy to use, thanks to support)
MSjulei
- 聚类算法matlab语句，简单聚类，形成分类树(Clustering algorithm matlab statements, simple clustering, classification tree)
clusterers
- 基于weka的聚类算法，简单聚类，SimpleKMeans，RandomizableSingleClustererEnhancer(Clustering algorithm based on Weka, simple clustering, SimpleKMeans, RandomizableSingleClustererEnhancer)
谱聚类
- 谱聚类matlab代码，聚类分析可用，内附简单实验及部分参考论文，代码可自行修改，精度可调(Matlab code for spectral clustering , enclosed a simple experiment, which can be modified. Accuracy of sigma is adjustable.)
K-均值聚类
- 简单的机器学习入门编程，Kmeans聚类(Simple machine learning introductory programming, Kmeans clustering)
cluster
- 对一个随机生成100个0到100的点，实现k=2的聚类划分(Clustering and partitioning of k=2)
k-means聚类算法
- K-MEANS聚类算法实现，方法简单，容易实现(K-MEANS clustering algorithm, simple and easy to implement.)