搜索资源列表
CollectAnaly
- 5层的MATLAB聚类分析的算法，输入需要进行分析的数据，点击运行即可得出聚类结果-MATLAB cluster analysis of 5 layer algorithm, input the need for analysis of the data, click Run to get the clustering results
yuanshuguji
- 一种聚类分析算法，实现盲源分离前的盲源数估计。-A cluster analysis algorithm, the number of blind source before blind source separation estimates.
F_JIDtjl
- 模糊聚类分析动态聚类分析程序，很简单，实用。附带有聚类图程序-Dynamic fuzzy clustering analysis Cluster analysis procedure is very simple and practical. Figure comes with a clustering procedure
K-MEANS
- 用k-means算法进行聚类分析。已运行成功。-By k-means clustering analysis algorithm. Has been running successfully.
K-meansjava_v1
- 用k-means算法进行聚类分析（java）。已运行成功。-By k-means clustering analysis algorithm（java）. Has been running successfully.
SSC_test
- 稀疏表示 凸优化 低秩表示 用于聚类分析 -sparse representing, convex optimization low rank representing
lrr_rand_test
- 稀疏表示 凸优化 谱聚类分析 高维数据 -Sparse representation Convex Optimization Cluster analysis
cluster
- 一种改进的pso算法在聚类分析上的应用，算法中加入了协作策略-the matlab source code of improved PSO algorithm
SVM
- 基于MATLAB开发环境下的SVM机器学习聚类分析-SVM-based machine learning clustering analysis under MATLAB development environment
Unsupervised-cluster-analysis
- 关于非监督聚类分析的一些matlab编程的列子，初学者可以-Unsupervised cluster analysis on some matlab programming Liezi, beginners can take a look at
模式识别与智能计算matlab实现
- 杨淑莹 聚类分析和手写数字分析软件，可安装于MATLAB，实现聚类分析 手写分析
MATLAB-report
- matlab实验报告，包括聚类分析、判别分析、主成分分析、因子分析、典型相关分析的matlab实现与结果分析-Matlab experiment report, including cluster analysis, discriminant analysis, PCA, FA, CCA of matlab and the result analysis
test
- 本算法有图像融合算法，聚类分析算法，去噪算法，运动模糊算法-This algorithm with image fusion algorithm, clustering analysis algorithm, the denoising algorithm, fuzzy algorithm
test3
- K-means聚类算法实现策略源代码实现，可以聚类分析一维数据-K-means source programe
k_meansMethod
- 聚类分析中的划分聚类算法的k-means算法（随机选取矩阵数据）-Partition clustering algorithm in clustering analysis of k- means algorithm (random matrix data)
Untitled3
- 根据实验数据设计K 均值聚类分析分类器。-Classification is based on experimental data analysis design K-means clustering.
fuzzycm
- 与模糊数学相关的,模糊聚类分析的有效性问题初探,FCM算法是论文中不可或缺的部分,在此将FCM算法的两种迭代形式的MATLAB代码写于下,也许有的同学会用得着:-Fuzzy clustering analysis and fuzzy validity problems of the mathematically related, FCM algorithm is an integral part of the paper, in the form of the FCM two iterative
EM_GMM
- 基于EM算法实现的高斯混合模型数据分类，可以很优秀的对各种数据进行聚类分析，R语言实现-EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language
ecological-multimodal-
- 提出了基于搜索空间聚类分析的排挤小生态遗传算法(cc)-Proposed crowding niche genetic algorithm based on cluster analysis of the search space (cc)
K-Means
- 统计中的聚类分析，c语言程序以及说明。应用广泛-Statistical cluster analysis, c language program and instructions. Widely