搜索资源列表
FuzzyClusteringToolbox
- 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
FuzzyClusteringToolbox
- 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
FCEPAHPPcluster
- 模糊综合评价+层次分析法+聚类 结合层次分析法特点，能够自主计算出综合评价中各指标的权重，避免自主赋权的主观性；同时附带有聚类指标，将所得结果分类-FCE APH cluster
matlab-code
- 计算聚类算法评价指标之一：Rand Index(需要两个类标向量) 根据类标绘制数据散布图（2D or 3D）-Evaluation of clustering algorithms compute: Rand Index
CDE-fuzzy-09
- 可变模糊迭代聚类模型程序，能够应用于多种指标综合评价和聚类问题。-Variable fuzzy clustering iterative model program that can be applied to a variety of indicators and evaluation clustering problem.
k_mean
- 运用k_mean算法，实现对指标点的聚类分析，然后找出其中的中心点。-Use of k_mean algorithm, realize the index point of clustering analysis, and find out the center.
julei
- 聚类分析又称群分析，它是研究（样品或指标）分类问题的一种统计分析方法，同时也是数据挖掘的一个重要算法-Clustering analysis is also called group analysis, which is the study of (samples or indexes) classification problem a method of statistical analysis is also an important algorithm of data mining
NCestimation_V2
- 聚类算法不同有效性指标的性能比较，改进代码用于不同的应用问题-Clustering algorithm performance comparison of different effectiveness index, improve code used for different applications
evaluation
- 基于MATLAB编写的集对分析与K均值聚类相结合的环境风险评价方法，熵权法作为指标权重确定方法。-MATLAB based on set prepared for analysis of environmental risk assessment and K-means clustering method of combining, entropy law as a method of determining the index weight.
K-modes
- k-modes聚类算法，其中包含F1-measure、聚类纯度和聚类准确率等评价指标，还有一个测试数据集，直接点击main即可-K- modes clustering algorithms, including purity of F1- measure, clustering and clustering accuracy uation index, and a set of test data, click the main directly
crukzqfl
- k-modes聚类算法，其中包含F1-measure、聚类纯度和temp聚类准确率等评价指标，还有一个测试数据集，同时允许temp1参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and temp clustering clustering accuracy rate, There is also a set of test data, whil
aktvxasd
- k-modes聚类算法，其中包含F1-measure、聚类纯度和 AnWuSY聚类准确率等评价指标,还有一个测试数据集，同时允许 NDJMzSJ 参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and AnWuSY clustering clustering accuracy rate, There is also a set of test data,
bbzlwpho
- k-modes聚类算法，其中包含F1-measure、聚类纯度和 QmTfhs聚类准确率等评价指标,还有一个测试数据集，同时允许 wDFPMei 参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and QmTfhs clustering clustering accuracy rate, There is also a set of test data,
bdpmeuzg
- k-modes聚类算法，其中包含F1-measure、聚类纯度和 xELsdR聚类准确率等评价指标,还有一个测试数据集，同时允许 dzJjmaj 参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and xELsdR clustering clustering accuracy rate, There is also a set of test data,
bgsmmrum
- k-modes聚类算法，其中包含F1-measure、聚类纯度和 xELsdR聚类准确率等评价指标,还有一个测试数据集，同时允许 dzJjmaj 参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and xELsdR clustering clustering accuracy rate, There is also a set of test data,
bkuglxci
- k-modes聚类算法，其中包含F1-measure、聚类纯度和 qzHAeI聚类准确率等评价指标,还有一个测试数据集，同时允许 nyIDCTp 参数冗余出现，MATLAB调试允许通过。-k-modes clustering algorithm, which contains the index F1-measure, purity and qzHAeI clustering clustering accuracy rate, There is also a set of test data,
matlab-julei
- 聚类分析,亦称群分析或点群分析,是研究多要素事物分类问题的数量方法。基本原理是根据样本自身的属性，用数学方法按照某种相似性或差异性指标，定量地确定样本之间的亲疏关系，并按这种亲疏关系程度对样本进行聚类(Cluster analysis, also called group analysis or point group analysis, is a quantitative method for studying the classification of multi factor things
ClusteringMeasure
- 用于聚类结果的分析，包括三种评测指标，ACC，PUR，NMI。(Use for the analysis of the clustering result.)
time-domain
- 自己用的时域特征提取方式，包含均值，均方根值，歪度，峭度，峰值指标，阈值裕值指标，峭度指标等，然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used
nmi
- matlab版本的标准互信息函数，用于聚类指标的计算，可直接使用(normalized mutual information function for clusering performance evaluation (MATLAB version))