搜索资源列表
Clustering
- k-means，k-centroids聚类分析，效果展示。-k-means, k-centroids clustering algorithm analysis and display.
alghorithm k means
- this is for classification
KMeans
- K-均值聚类算法，属于无监督机器学习算法，发现给定数据集的k个簇的算法。 首先，随机确定k个初始点作为质心，然后将数据集中的每个点分配到一个簇中，为每个点找距其最近的质心， 将其分配给该质心对应的簇，更新每一个簇的质心，直到质心不在变化。 K-均值聚类算法一个优点是k是用户自定义的参数，用户并不知道是否好，与此同时，K-均值算法收敛但是聚类效果差， 由于算法收敛到了局部最小值，而非全局最小值。 K-均值聚类算法的一个变形是二分K-均值聚类算法，该算法首先将所有点作为一个簇，然
k_means
- K-means algorithm and it s performance assesment in matlab.
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
Kmeans
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means algorithm accepts input k then n data objects into k clusters in order to make clustering satisfy obtained: the objects i
final-code
- This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation
kmedoids1
- matlab下的k中心点聚类算法，matlab内置仅有k均值聚类算法-k under the center clustering algorithm matlab, matlab built-k-means clustering algorithm only
jlfx
- matlab聚类分析的几个例程 包括系统聚类的法案分析 K均值聚类的法的案例分析 模糊C均值聚类分析的典型案例-matlab clustering analysis of several routines, including hierarchical clustering analysis of K-means clustering Act case law analysis of typical cases Fuzzy C-Means Clustering Analysis
kmeans
- matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, very good, for everyone to download research study
all-of-Cluster
- 大多数经典聚类分析算法的matlab实现，包括K均值、模糊聚类（FCM）、SOM、Kohonen、EM、DBSCAN、等！-ON划词翻译ON实时翻译 Most of the classical clustering algorithm matlab implementation, including K means, fuzzy clustering (FCM), SOM, Kohonen, EM, DBSCAN, etc.!
Prog
- The mathematic method K-Means with delphi, a smaal essay, with graphic representation
kmeans
- matlab 基于K均值聚类算法的图像分割-K-means clustering algorithm for image segmentation
canopy
- 一种新的聚类方法，结合k-means，用Python作为开发工具-a kind of clustering
KMeansDemo
- K-means algorithm demo cla-K-means algorithm demo class
kmeans
- matlab实现的k均值聚类算法，能对不同维度的数据进行聚类，有测试程序，欢迎下载-k-means clustering algorithm matlab implementation, capable of clustering data in different dimensions, with a test program, welcome to download
cluster_SVM
- Clustering 和 SVM 结合的预测模型算法。聚类采用k-means方法，SVM采用lib-svm工具箱。-kMeans and SVM(support vector machine) prediction model is provided.
K_average
- K-均值聚类算法，参考价值很高，参数已经全部设置好，下载可以直接顺利运行。-K- means clustering algorithm, a high reference value, the parameters have been set up well, can be directly downloaded to run smoothly.
Algorithms
- matlab源码：K-means算法,粒子群算法PSO，模拟退火算法SA-The matlab source code: K- means algorithm, particle swarm optimization (PSO, simulated annealing algorithm SA
cluster
- python语言实现k-means算法和Fast Search And Find Of Density Peaks算法用于文本聚类，-python language implements k-means algorithm and Fast Search And Find Of Density Peaks for text clustering algorithm,