搜索资源列表
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
87361043sparse-subspace-clustering
- SSC经典的稀疏子空间聚类算法，matlab代码，可用于图像分割，图像识别等(SSC based matlab,can be used for image segmentation,image recognization and so on)
irisdata
- 用于聚类的数据集。。。。。。。。。。。。。(Data sets for clustering)
chinese_text_cluster-master
- 基于中文文本的机器学习聚类算法的实现，包括LDA算法等(Chinese Text Clustering)
testDBSCAM_matlab
- 给出基于密度的聚类之DBScan算法的具体思想和Matlab实现步骤(The idea of DBScan algorithm based on density clustering and the steps of Matlab are given)
基于 K-means 聚类算法的图像区域分割
- 本程序使用matlab软件，实现了基于K-means聚类算法的图像分割。(Image split based on K-means was done by using Matlab.)
DENCLUE2.0 algorithm for python
- DASCAN 聚类算法例程，实现平面内点的分类(Clustering algorithm routines)
dbscan
- DBSCAN(Density-Based Spatial Clustering of Applications with Noise)是一个比较有代表性的基于密度的聚类算法。与划分和层次聚类方法不同，它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类。(Classical clustering algorithm)
ClusteringMeasure
- 用于聚类结果的分析，包括三种评测指标，ACC，PUR，NMI。(Use for the analysis of the clustering result.)
04657872GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
meanshift
- meanshift聚类算法源码 可运行( Meanshift clustering algorithm source code)
Ant-colony-algorithm
- 用于蚁群算法的聚类，可以直接打开进行聚类操作，文件夹中给出了原始数据和代码(Ant colony algorithm is used in clustering, clustering can directly open for operation, folder raw data and code are given)
tvnpv
- 用于特征降维，特征融合，相关分析等,包括AHP，因子分析，回归分析，聚类分析，粒子图像分割及匹配均为自行编制的子例程。( For feature reduction, feature fusion, correlation analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines them
FLICM_Matlab
- 利用FLICM算法进行图像聚类的matlab程序代码，相对于FCM（模糊C均值聚类）算法具有较强的抗噪能力。(FLICM image clustering algorithm matlab code, with respect to FCM algorithm (Fuzzy C-means Clustering) it has a strong anti-noise ability.)
image_segmentation
- 使用k-means聚类实现多光谱图像分割，并配有高维视图查看聚类结果(Clustering algorithm for multispectral image segmentation)
puju(yiwei)
- 使用谱聚类算法进行图像分割，提取目标区域(pujulei algorithm used to image cut)
基于 K-means 聚类算法的图像区域分割
- 基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)
Kmeans故障聚类
- C语言做的聚类学习的旋转机械故障诊断，已经经过验证，可以作为参考。(C language clustering learning of rotating machinery fault diagnosis has been verified, and can be used as a reference.)
time-domain
- 自己用的时域特征提取方式，包含均值，均方根值，歪度，峭度，峰值指标，阈值裕值指标，峭度指标等，然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used
OPTICS
- OPTICS聚类算法，分为主程序、副程序和数据(OPTICS clustering algorithm, which is divided into main program, sub-program and data)