搜索资源列表
KlustaKwik_R1-8
- KlustaKwik is an open-source C++ program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data.
Clustering
- Paper acerca de Clustering .. Inteligencia Artificial
A-gateway-assisted-progressive-clustering-routing-
- 计能量有效的协议,以适应传感器网络的特点.成簇算法是传感器网络中减少能量消耗的一种关键技术-A-gateway-assisted-progressive-clustering-routing-algorithm
AODV-routing-protocol-based-on-clustering-algorith
- 一种基于AODV路由协议的分簇算法研究是无线传感网络现今发展的重要算法-AODV routing protocol based on clustering algorithm 搜索
GA1E1
- 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
agglom
- data mining agglomerative clustering
kmeansClusters
- Image segmentation k mean clustering
loc_im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
TextClustering
- 文本聚类，VC编程实现，作为一种无监督的机器学习方法，聚类由于不需要训练过程，以及不需要预先对文档手工标注类别，因此具有一定的灵活性和较高的自动化处理能力-Text Clustering, VC programming, as an unsupervised machine learning method, clustering by eliminating the need for the training process, and do not need to manually pre-ma
Cluster_Analysis
- 用Java语言实现的空间聚类分析程序，对离散点按照距离标准进行分类。-Java language with the spatial clustering analysis procedures, in accordance with the distance between discrete points of criteria.
Matrixestimation
- 基础矩阵估计的聚类分析算法，用于对图像进行聚类分析的算法。-Matrix estimation based on cluster analysis algorithms, used for image analysis algorithm for clustering.
im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 -Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
kmeans_rbf
- 一个简明的基于聚类的RBF（径向基）神经网络设计算法-A simple clustering-based RBF (Radial Basis Function) neural network design algorithm
mpi_kmeans
- MPI implementatiobn of k-means clustering
hddc_toolbox_1.0
- The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Reference: C. Bouveyron, S. Girard and
High
- This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best
ClusterData
- Performs hierarchical clustering of data using specified method and seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Databa
cvap3.5
- CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by ad
gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three
fcm_color
- 模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their