搜索资源列表
k-meams(sourcecode)
- C#实现k均值文本聚类算法，文本聚类C#源程序，k-means聚类算法-C# to achieve k means clustering algorithm, document clustering C# source code, k-means clustering algorithm
K_means
- K-means MATLAB源程序，适用于聚类分析的代码-K-means MATLAB programe
NJW
- njw谱聚类算法，读者可以参考用于科研用途，其中的参数需要自己设定-spectral clustering algorithm of NJW
SA_GA
- 基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析，由于模拟退火算法和遗传算法可以互相取长补短，因此有效地克服了传统遗传算法的早熟现象，同时根据聚类问题的具体情况设计遗传编码方式、适应度函数，使该算法更有效、更快速地收敛到全局最优解。 -Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algo
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
AgglomerativeClustering
- 这是一个自下而上的凝聚层次聚类方法。最初，每个元素都是一个单独类，通过算法将两个最近的类合并成一个较大的类，直到形成一个最大包含所有元素的类。 -This is a bottom-up agglomerative hierarchical clustering method. Initially, each element is a separate class, the algorithms of the two most recent classes combined into a la
fcm
- 一个关于FUZZY kmeans算法的matlab源程序 有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
kernel-ica
- 利用KICA实现聚类，里面含有数据集，可以进行测试-clustering with KICA
isodata
- 自己写的isodata聚类程序，已经在matlab下调试验证通过。-Wrote it myself ISODATA clustering procedure has been adopted to verify matlab debugging.
PSOGARBF
- 基本粒子群优化算法 遗传算法，基于聚类，梯度，最小二乘法的RBF网络程序等5个代码-Elementary particle swarm optimization algorithm genetic algorithm, based on clustering, gradient, least-squares method of RBF network program such as 5 code
ISODATA
- 本源程序为ISODATA聚类算法 可以达到很好的聚类效果-The source code for the ISODATA clustering algorithm can achieve very good clustering results
jibenyiqunjuleisuanfa
- 该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛。-Basic ant clustering algorithm and its improved algorithm
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
gist
- 使用gist对图像进行聚类，并选出iconic image-Gist of the images using clustering and select the iconic image
EM-algorithm
- EM算法，是一种无监督的聚类算法，可以实现对数据的处理，对不同数据进行聚类，生成类内相似度最大-EM algorithm is an unsupervised clustering algorithm, the data processing can be achieved on different data clustering, to generate the maximum within-class similarity
matlabprogram
- 二型模糊聚类算法实现医学脑部组织图像分割-The algorithm of type-2 fuzzy clustering achieved the segmentation of medical image
K-means_cluster
- 这是一个基于K-means的聚类算法，可用于网页信息聚类，例如电子产品的型号聚类等。-This is based on the K-means clustering algorithm, clustering can be used for website information, such as electronic products, such as the Model Cluster.
pso-clustering
- 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
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.
fuzzyPR
- 模糊聚类的经典算法，可以使用UCI数据集进行聚类，该程序附有详细的说明-Classical fuzzy clustering algorithm, you can use the UCI data sets clustering, the program is accompanied by a detailed descr iption of