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99273863K-means-clustering-algorithm
- K-均值聚类算法。可自由输入初始聚类中心的个数和其坐标。(K- means clustering algorithm. The number of initial cluster centers and its coordinates can be freely entered.)
aroblems-clustering
- matlab6,5下写的三类问题的基于最大最小聚类方面写的聚类程序(Matlab6, 5 write under three kinds of problems based on the largest and most of the class enjoy writing clustering procedure)
clustering
- 包括层次聚类和密度聚类的效果对比，是机器学习入门的好东西(Including hierarchical clustering and density clustering effect contrast, is a good machine learning entry)
Dynamic Clustering Routing
- Research on Dynamic Clustering Routing Considering Node Load for Wireless Sensor Networks
Clustering_toolbox
- clustering toolbox.pattern recognation
kmeans_fast_Color
- clustering toolbox easy to use
ffcmw
- clustering toolbox. fast color kmean
Density-ratio 1.1
- clustering using density ratio
PSO_clustering
- pso for data clustering program. v v helpful
Genetic_clustring
- Genetic clustering. v v v v v useful
clustering-index
- 欢迎使用和评述此工具箱，您的意见是对我们工作的支持。 此工具适合于不同有效性指标的性能比较，改进代码用于不同的应用问题等等。 (1) NCT的内容 NCT包括4个外部有效性指标和8种内部有效性指标，编制的程序文件"validity_Index.m"用于调用它们 (2) 主文件 "mainClusterValidationNC.m" 的内容 主文件设计为如何使用PAM聚类算法、如何使用有效性指标和方法来估计聚类个数。(H
fuzzy c-means
- 基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function
DBSCAN Clustering
- 基于matlab的dbscancluster的实现可用于文本聚类(The implementation of dbscancluster based on Matlab can be used for text clustering)
MCSS
- MCSS algorithm for clustering
python-graph-clustering-master
- 蛋白质相互作用网络中，蛋白质复合物的预测，内含有多有经典的聚类算法(predict protein complex from PPI network)
Rank-Order-Distance-based-clustering
- rank order distance based clustering for clustering same face images.
Clustering
- 本代码实现多个方法对数据进行聚类，例如knn方法(This code implements multiple methods to cluster data, such as the KNN method)
boilier identification using Takagi Sugeno
- This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied to a non
svm-clustering
- suport vector machin for clustering
simple linear iterative clustering for matlab
- 超像素图像分割方法，简单线性迭代聚类，用于自然影像/遥感影像分割等(superpixel image segmentation, simple linear iterative clustering)