搜索资源列表
isoData
- isodata聚类分析用C#语言实现的，已经经过测试了，代码已经详细标注。-isodata cluster analysis using C# language, it has been tested, the code has detailed annotations.
k_means
- k-means聚类分析matlab实现，有详细注释和测试数据-k-means clustering matlab realization, detailed notes and test data
kmeans
- kmeans算法，对交通路标进行Kmeans聚类分析，有GUI界面-kmeans algorithm, the traffic signs were clustered by using kmeans algorithm, GUI interface is available.
PSO-clutering-algorithm
- 粒子群聚类分析，用于数据聚类，是在原本聚类分析上加上粒子群智能算法改进来的，对数据聚类有较好的效果-PSO Clubing Algorithm
JULEI
- 通过函数进行对大数据进行聚类分析，快速方便的解决了许多实际问题-Data clustering
meanshift
- 均值漂移算法是一种基于颜色特征的无参密度估计算法，被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking.
Statistical-Analysis
- 包含了聚类分析、因子分析和KMO检验的功能，能够生成EXCEL结果文件。-Contains a cluster analysis, factor analysis and KMO test function can generate EXCEL results file.
matlab----fmc-1
- 模糊聚类分析，内容简单，适合初学者，代码列出，可以直接使用-use for matlab fmc，very easy to use，please give this documnet more encourage，it will be very useful for science researcher
Spectral-imaging-target--Mohammadi
- 经典的Mohammadi 聚类分析重建光谱反射率的文章，做光谱反射率重建的同学要用他做比较的。-The paper of Mohammadi was famous to reconstruction spectral reflectance using clustering analysis, and compared to other methods if you do spectral reflectance reconstruction.
C_PSO
- 粒子群聚类程序 供大家学习参考 粒子群 聚类分析-PSO algorithm is very useful for ones who wants to learn
Fuzzyjulei
- 聚类分析，模糊集，适用于多维数据聚类。在研究生期间所做的成功，成功将三位数据实现聚类，并把它运用到交通分类当中。-Cluster analysis, fuzzy sets, is applicable to multi-dimensional data clustering.During the graduate student success, success will be three data clustering, and apply it to the classification o
Untitled
- 这是一份SAR图像变化检测的matlab源代码，通过处理两幅SAR图像的差异图，进行数学形态学处理和聚类分析等方法实现图像的变化检测。-This is a SAR image change detection matlab source code, through the differences the two SAR images processing plan and make mathematical morphology processing and cluster analysis t
FCGRNN
- 给予模糊均值聚类问题（FCM）的神经网络算法，对初学者进行神经网络关于聚类分析问题方面学习时一个不错的程序-Neural network algorithm for fuzzy mean clustering problem (FCM)
changyongsuanfa
- 三个常用的算法模型，分别是模糊聚类分析法，灰色模型预测法和主成成分分析法-Model three commonly used algorithms, which are fuzzy cluster analysis, gray model and principal components analysis into
cluster
- 本程序介绍了聚类分析的各种算法，包括层次、动态、模糊和遗传算法，对数值进行模式识别。-This procedure describes the various clustering algorithms, including the level of dynamic, fuzzy and genetic algorithms, pattern recognition value.
k_means
- K-mean 算法是 J.B.MacQueen 在 1967 年提出的，是到目前为止应用最广泛最成熟的一种聚类分析方法。因该算法具有简单快速、适于处理大数据集等优点，目前，已被广泛应用于科学研究和工业应用中。-K-mean algorithm is JBMacQueen proposed in 1967, is by far the most mature and most widely used of a clustering analysis. Because the algorithm i
K-means
- 聚类分析的K均值算法(Python实现)-K means algorithm for clustering analysis (Python)
Desktop
- K均值聚类算法，对风电机组功率数据进行聚类分析，包括详细的程序说明。 只要把这两个文件放入一个空文件夹下，在MATLAB中执行m文件，就可得到聚类结果。-K-means clustering algorithm, the wind turbine power data clustering analysis, including a detailed descr iption of the procedures. As long as these two files into an empt
juleifenxi
- 模糊聚类分析,这是介绍模糊聚类分析的相关用法和概念-Fuzzy clustering analysis, which is related to usage and introduce the concept of fuzzy clustering analysis, etc.
fengcengjulei
- 此程序是matlab编程下的聚类分析，实现了高级统计分析中的分层聚类算法，对两种不同人群的健康状况进行了统计分析-Cluster analysis, this program uses advanced statistical analysis of hierarchical clustering algorithm, the health status of two different populations were statistically analyzed