搜索资源列表
api-cluster
- 用java写的层次聚类，其中距离函数是complete（即最大值优先）(Cluster(agglomerative clustering, complete linkage method) to analyze API usage.)
Cluster_Demo
- Clustering example based on demographics
clustering by find od density peaks
- science上密度峰值聚类算法源码，包括matlab源码和s1数据集(Source code for peak density clustering algorithm on Science)
Hierarchical clustering
- 可以进行聚类分析中的层次聚类，是经典聚类中常用的方法。(Hierarchical clustering in clustering analysis is a common method in classical clustering.)
codaa
- The PSO clustering algorithm has as objective to simultaneously minimize the quantization error and intra-cluster distances
Clustering-master
- 一个基础的聚类算法，带数据集，适合初步研究聚类算法的人学习。(A basic clustering algorithm, with data sets, is suitable for the preliminary study of clustering algorithm for human learning.)
clustering
- 自己做的一些层次聚类 有一些数据集 和一些仿真图 用的是信号熵特征进行聚类(Some of the hierarchical clustering done by myself, some data sets and some simulation maps are clustered by means of signal entropy features.)
introduction
- related to the clustering data which is important
spectrul
- 完整的谱聚类运算过程，使用了杰卡德相似系数求取相似性矩阵。(Complete spectral clustering process)
FRFCM
- Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
MKFCM
- Multiple Kernel Fuzzy Clustering
Self-weighted Multiview Clustering
- Self-weighted Multiview Clustering with Multiple Graphs
K-Medoids Clustering
- K-Medoids Clustering
Clustering
- 1) 使用凝聚型层次聚类算法（即最小生成树算法）对所有数据点进行聚类，最后聚成3类。相异度定义方法可选择single linkage、complete linkage、average linkage或者average group linkage中任意一种。 2) 使用C-Means算法对所有数据点进行聚类。C=3。 任务2（必做）： 使用高斯混合模型（GMM）聚类算法对所有数据点进行聚类。C=3。并请给出得到的混合模型参数（包括比例??、均值??和协方差Σ）。 任务3（全做）： 1) 参考数据文
GSA-C
- GSA是一个优化算法，可以高效的得到最优解，将数据集运用到GSA上，可以达到较好的聚类结果(GSA is an optimization algorithm, which can get the optimal solution efficiently. Applying data set to GSA can achieve better clustering results)
DBSCAN
- DBSCAN clustering algorithm
Subtractive-Clustering-Algorithm-master
- 能够实现减法聚类，通过减法聚类对数据进行分类，使用python编程(It can realize subtraction clustering and use Python Programming)
ConsistentGraphLearning-master
- 该代码是多视图聚类的统一图学习框架算法代码，运用Matlab编写，有利于多视图聚类的学习(A Unified Graph Learning Framework for Multi-view Clustering)
Multi-View Clustering in Latent Embedding Space
- Multi-View Clustering in Latent Embedding Space
Learning a Joint Affinity Graph for Multiview_Subspace Clustering
- Learning a Joint Affinity Graph for Multiview_Subspace Clustering