搜索资源列表
k-means聚类算法
- k-means聚类算法的代码实现,只需要更改数据就可以实现,而且有注释,很容易懂(The code implementation of the k-means clustering algorithm can be realized only by changing the data, and there are notes that make it easy to understand)
聚类算法
- 这是关于模糊算法中的聚类算法,对于研究聚类算法的有一定研究参考价值。(This is a clustering algorithm in fuzzy algorithm, which has a certain reference value for the study of clustering algorithm.)
基于聚类的细分研究
- 使用R语言进行聚类分析的例子,包括层次聚类,k均值聚类,密度聚类等(Examples of clustering analysis using R language, including hierarchical clustering, K mean clustering, density clustering, etc.)
语音聚类示例
- 实验示例是基于语音中的mfcc,语音倒谱特征来进行聚类,先利用训练样本来计算训练样本聚类中心(用到了lbg算法),之后再进行分类。 注意:使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clus
基于FCM聚类分析的交通判别算法研究
- 采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析,利用FCM聚类分析解决了交通状况的判别算法,文件里面还有相关文献!(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.)
FCM+KFCM模糊C均值聚类分析算法
- FCM+KFCM聚类分析两种方法的比较,有聚类效果图(FCM+KFCM cluster analysis of the two methods of comparison, there is a clustering effect map.)
自动聚类算法
- 该程序实现基于DE/PSO/GA的进化算法的数据聚类(The program realizes data clustering based on DE/PSO/GA's evolutionary algorithm.)
k均值聚类算法
- 根据k均值聚类的原理,实现一些数字的聚类,但是具体类别数需要自己设置(Clustering of some numbers by K mean clustering)
K—均值聚类提取
- k均值聚类提取,适合学习。先将RGB图像转换到LAB空间,在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
聚类
- 相似性划分,Q型聚类,是理想的多变量统计技术,主要有分层聚类法和迭代聚类法。 聚类分析也称群分析、点群分析,是研究分类的一种多元统计方法。(Similarity classification and Q clustering are ideal multivariate statistical techniques, including hierarchical clustering and iterative clustering. Cluster analysis, also known a
第10章 聚类分析
- matlab编码程序 聚类分析 有实例 直接应用即可(Matlab coding program clustering analysis has an instance of direct application.)
matlab模糊聚类程序 动态聚类图程序
- 利用MATLAB做模糊聚类,并且画出系谱图(MATLAB fuzzy clustering dynamic graph)
竞争网络实现2维数据聚类
- 利用竞争神经网络实现2维10类数据的聚类。产生[0 1]之间的10类聚类数据(每类15个样本),用竞争神经网络实现所产生数据的聚类,并在同一图上显示聚类结果。(2 dimensional and 10 dimensional data clustering is realized by competitive neural network. 10 classes of cluster data (15 samples per class) between [0 1] are generated,
chapter20 基于遗传模拟退火算法的聚类算法
- 基于matlab实现遗传、模拟算法在聚类中的应用(Application of genetic algorithm and simulation algorithm in clustering based on MATLAB)
FCM聚类算法
- 基于矩阵模块化模糊聚类的图像分割,里面包括源代码,以及实验前后的图片(Image segmentation based on matrix modularized fuzzy clustering)
AP聚类算法和案例
- ap聚类算法实现三维数据点的分类,demo为案例(AP clustering algorithm realizes the classification of data points, demo as a case.)
基于遗传模拟退火算法的聚类算法
- 遗传模拟退火算法和聚类算法的结合,有助于学生课程设计,熟悉算法代码的学习(The combination of genetic simulated annealing algorithm and clustering algorithm is helpful to students' curriculum design and familiarity with algorithm code learning.)
稀疏子空间聚类程序
- 稀疏子空间聚类程序,其中包含 LS3C_release,SSC_1.0, SSC_ADMM等程序(sparse subspace cluster code)
K均值聚类
- K均值聚类算法-对数据进行聚类分析,适合数据处理(k means clustering algorithm)
matlab实现Kmeans聚类算法
- matlab实现Kmeans聚类算法,非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.)