搜索资源列表
Matlab
- 使用Matlab实现上市公司财务评价的模糊聚类分析-Listed companies to use Matlab to achieve the financial evaluation of fuzzy cluster analysis
Matrixestimation
- 基础矩阵估计的聚类分析算法，用于对图像进行聚类分析的算法。-Matrix estimation based on cluster analysis algorithms, used for image analysis algorithm for clustering.
HillClimbingSegment.1.0
- 程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。-mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the c
kmean
- 给定很多数据点之后找这些类的聚类中心，然后重新分类。-Given after a lot of data points to find these kind of cluster center, and then reclassified.
ClusteringToolbox
- 用于进行聚类分析的matlab工具箱，包括K-means、模糊聚类等。-Used for cluster analysis of the matlab toolbox.
colorimagek_means
- 自己根据K-MEANS思想在MATLAB下实现的彩色图像分割算法程序，用最普通的语句实现，通俗易懂。可以直接用于对彩色细胞图像的分割，分割结果比较准确，-K-MEANS in accordance with their own ideas in MATLAB to achieve color image segmentation algorithm based on the procedures used to achieve the most common statement, user-fr
@clustub
- Cluster based feature selection
MatlabClusterEnsembleToolbox
- Matlab Cluster Ensemble工具箱-Matlab Cluster Ensemble Toolbox
PRmatlabprogram
- matlab聚类，应用平均值法求新的聚类中心-matlab clustering, the application of the cluster center average method novelty
KMeans
- KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.
Multipleregressionanalysis
- 多元回归分析代码 可以做用于多种实际应用 用于各种预测分析 聚类分析代码-Multiple regression analysis code can be done for a variety of practical application of cluster analysis for a variety of predictive analysis code
C_PSO
- 粒子群聚类算法，对于初学者是很好的东西，要下的赶快-Particle cluster-like algorithm, for beginners is a good thing, it is necessary to quickly
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
iriscode
- Matlab提供了两种方法进行聚类分析。 一种是利用 clusterdata函数对样本数据进行一次聚类，其缺点为可供用户选择的面较窄，不能更改距离的计算方法； 另一种是分步聚类：（1）找到数据集合中变量两两之间的相似性和非相似性，用pdist函数计算变量之间的距离；（2）用 linkage函数定义变量之间的连接；（3）用 cophenetic函数评价聚类信息；（4）用cluster函数创建聚类。 -Matlab provides two methods of cluster anal
k_means
- 常用的k平均聚类 用于聚类分析 代码实现适用的是matlab-k means cluster applied to cluster analysis coded by matlab
CT_WSNv1
- the code describes about the aggregate scheduling , system model , bandwidth requirement , buffre requirements & the use of zigbee protocol for existing cluster tree wsn protocol that gives better output in worst case dimension protocols
color-snake
- 利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度-The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will ge
kmean_zmx_try
- k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
kMeansCluster
- K Means Cluster Matlab Source Code
waveletSeg
- use wavelet analysis to denoise the 4d image and use kmeans to cluster the image