clusters
共 15 篇文章
clusters 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 15 篇文章，持续更新中。
To identify distinguishable clusters of data in an n-dimensional pixel
To identify distinguishable clusters of data in an n-dimensional pixel
value image.
Given: Samples of multi-spectral satellite images
High.Performance.Linux.Clusters.With.Oscar.Rocks.openmosix.And.Mpi.2004--介绍linux集群的好书（英文版）
High.Performance.Linux.Clusters.With.Oscar.Rocks.openmosix.And.Mpi.2004--介绍linux集群的好书（英文版），希望大家喜欢
The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is
The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab
functions. Its propose is to divide a given data set into subsets (called
clusters), hard and fuzzy partitioning mean, that t
二维的DBSCAN聚类算法
二维的DBSCAN聚类算法，输入（x,y）数组，搜索半径Eps，密度搜索参数Minpts。输出: Clusters，每一行代表一个簇，形式为簇的对象对应的原数据集的ID
The last step in training phase is refinement of the clusters found above. Although DynamicClusteri
The last step in training phase is refinement of the clusters
found above. Although DynamicClustering counters all the
basic k-means disadvantages, setting the intra-cluster similarity
r may requir
DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇
DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "n
这个软件包(C++)是我寻找电磁学代码无意中找到了
这个软件包(C++)是我寻找电磁学代码无意中找到了，功能相当强大（并行计算，快速多极子等）。缺点是安装相当麻烦，需要若干个其他软件包。我在Fedora Core9下编译其中所需blitz++时出错，在 ubuntu下可以所有均编译通过，运行时出现一个错误，我找不到原因（本人水平有限），但从学习电磁学有关算法／程序设计来说，已经是相当了不起的开源软件了。parallel unified multip
calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the
calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the clusters that were found at the previous (coarser) iteration.
My version of k-means function. Improved so that there are no empty clusters after segmentation.
My version of k-means function. Improved so that there are no empty clusters after segmentation.
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters S
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the traini
Sector is a system infrastructure software that provides functionality for distributed data storage,
Sector is a system infrastructure software that provides functionality for distributed data storage, access, and analysis/processing. It automatically manages large volumetric data across servers or c
function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序 输入A、B为已知类别样本的样本-变量矩阵
function [clusters,c,F]=fisher_classify(A,B,data)
fisher判别法程序
输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本
输出C为判别系数向量
clustering matlab code,check the number of clusters alive at certain iterations
clustering matlab code,check the number of clusters alive at certain iterations
这次上传的代码是关于K-means clusters的代码
这次上传的代码是关于K-means clusters的代码，希望能对大家有用。
Determination of number of clusters in K-Means Clustering and Application in color image segmenta
Determination of number of clusters in K-Means Clustering and Application in color image segmenta