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good K-means clusters
- 这次上传的代码是关于K-means clusters的代码，希望能对大家有用。-The uploaded code is about K-means clusters.I hope it can be a help to everyone.
heartbeat-1.99.2.tar
- linux集群服务器软件代码包，已广泛应用于专业linux服务器构架中，是目前开源的集群代码中最优秀的-Linux cluster server software code. it has been widely used professional linux server architecture, which is the open-source code clusters of the best
RAC
- 在linux上单机模拟Oracle 10g RAC集群-aircraft simulated Oracle 10g RAC clusters
realDBSCAN
- 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-two-dimensional clustering algorithm, the input (x, y) array, search radius Eps. Minpts density search parameters. Output : Clusters, e
ORACLE_train4
- SQL语言简介 1、 SQL概述 SQL是一种面向数据库的通用数据处理语言规范，能完成以下几类功能：提取查询数据，插入修改删除数据，生成修改和删除数据库对象，数据库安全控制，数据库完整性及数据保护控制。 数据库对象包括表、视图、索引、同义词、簇、触发器、函数、过程、包、数据库链、快照等（表空间、回滚段、角色、用户）。数据库通过对表的操作来管理存储在其中的数据。 -a brief SQL language. S
Calculatetheprobability
- calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the clusters that were found at the previous (coarser) iteration. -calculatePXTheta -- Calculate the proba bility of each
DBSCAN2
- 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 "noise" of t
clusters
- 协同微粒群算法，用于原子簇的结构优化。协同微粒群算法模型由南非人Frans van den Bergh提出，对高维问题处理的效果要显著优于基本微粒群算法。-synergies PSO algorithm, for the cluster of structural optimization. Synergy PSO algorithm model from South Africa who Frans van den Bergh, fo
good K-means clusters
- 这次上传的代码是关于K-means clusters的代码，希望能对大家有用。-The uploaded code is about K-means clusters.I hope it can be a help to everyone.
realDBSCAN
- 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-two-dimensional clustering algorithm, the input (x, y) array, search radius Eps. Minpts density search parameters. Output : Clusters, e
Calculatetheprobability
- calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the clusters that were found at the previous (coarser) iteration. -calculatePXTheta-- Calculate the proba bility of each
clusters
- 该算法包包含了hierichal，kmeans，em聚类算法，非常实用。-The algorithm package contains hierichal, kmeans, em clustering algorithm is very practical.
Clustering
- Determination of number of clusters in K-Means Clustering and Application in color image segmenta
FuzzyClusteringToolbox
- 使用matlab实现的各种聚类算法,其中包括具体例子进行详细说明。-The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one s aim. In Chapter 1 of the downloa
fisher_classify
- 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 -function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input
hartigansSLC_OpenCV
- hartigans Sequential Leader Clustering Algorithm in terms of OpenCV (ver.1.1) Sequential Leader algorithm: Hartigan, J. A. (1975), Clustering Algorithms. John Wiley and Sons, Inc., New York, NY. 1. Select
fish-mobile-a--clusters
- 实现人工鱼移动,聚群,追尾,捕食,迭代20次的效果-20 iterations of artificial fish, artificial fish mobile, clusters, rear-end collision, predation
ch05_Arrays-and-Clusters
- ch05_Arrays and Clusters.rar
Analysis-of-data-clusters-obtained-byself-organiz
- In order to reveal new structures in stock market behavior of the companies drawing up Dow Jones index we apply self-organizing maps (SOM) and group method of data handling (GMDH) algorithms. Using SOM techniques we
Data-Processing-on-Large-Clusters
- Abstract: Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through a simple interface with two f