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【Internet-Network】 wpan_zbr DL : 0: ZigBee路由协议指的是ZigBee规范中规定的与路由相关的功能和算法部分，主要包括不同网络拓扑结构下ZigBee协议数据单元的路由方式、路由发现和路由维护等内容。为了达到低成本、低功耗、可靠性高等设计目标，ZigBee网络采用了Cluster-Tree与AODV路由相结合的路由算法。该包实现了ZIGBEE路由算法在NS2下的模拟-ZigBee Routing Protocol refers to the ZigBee specification and routing provisions related functions and algorithms in part, including different network topologies under the ZigBee protocol data unit routing methods, routing discovery and routing maintenance and so on. In order to achieve low-cost, low power consumption, high reliability design goal, ZigBee network using Cluster-Tree Routing with the AODV routing algorithm combining. The implementation of the ZigBee packet routing algorithm in NS2 under the Analog
Update : 2024-05-19 Size : 1718272 Publisher : dong
【matlab】 MultiStati DL : 0: 方差分析与MATLAB应用、聚类分析及MATLAB应用、主成分分析及MATLAB应用。-Analysis of variance with the MATLAB application, the application of cluster analysis and MATLAB, principal component analysis and MATLAB applications.
Update : 2024-05-19 Size : 179200 Publisher : yinjj
【Windows Develop】 ISODATA2 DL : 0: ISODATA算法是一种基于统计模式识别的，非常经典的非监督学习动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, and very classic dynamic clustering of non-supervised learning algorithm has good practicability. ISODATA algorithm can not only adjust the class to complete samples of cluster analysis of samples, and can automatically type of " merger" and " split" in order to get a few more reasonable type of clustering results.
Update : 2024-05-19 Size : 190464 Publisher : justinchan
【JSP/Java】 JBOSS DL : 0: 环境配置说明 Jboss4.2.3 Java ee 5 MySql5.0 安装jdk,我的目录为C:\Sun\SDK 安装jboss.我的目录为D:\jboss4.2.3 安装mysql 配置环境变量JBOSS_HOME D:\jboss4.2.3 配置环境变量 JAVA_HOME C:\Sun\SDK\jdk JBOSS的JMS配置由于没有用到集群所以用JBOSS的default应用即可。-Environment configuration Jboss4.2.3 Java ee 5 MySql5.0 installed jdk, my directory is C: \ Sun \ SDK install jboss. My directory is D: \ jboss4.2.3 install mysql configuration environment variable JBOSS_HOME D: \ jboss4.2.3 configuration environment variable JAVA_HOME C: \ Sun \ SDK \ jdk JBOSS configuration of the JMS is not used because of the cluster so the default application used to JBOSS.
Update : 2024-05-19 Size : 3072 Publisher : tulip
【matlab】 Wavecluster_beibei DL : 1: 这是一个改进后的小波聚类的MATLAB源代码，-This is an improved wavelet Clustering MATLAB source code,
Update : 2024-05-19 Size : 4360192 Publisher : 于剑
【AI-NN-PR】 selfAffinity DL : 0: AP是在数据点的相似度矩阵的基础上进行聚类.对于规模很大的数据集,AP算法是一种快速、有效的聚类方法,这是其他传统的聚类算法所不能及的,-A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient and fast clustering algorithm for large dataset compared with the existing clustering algorithms, such as K-center clustering. But for the datasets with complex cluster structures, it cannot produce good clustering results. It can improve the clustering performance of AP by using the priori known labeled data or pairwise constraints to adjust the similarity matrix. Experimental results show that such method indeed reaches its goal for complex datasets, and this method outperforms the comparative methods when there are a large number of pairwise constraints.
Update : 2024-05-19 Size : 375808 Publisher : lilan
【Graph program】 kmean DL : 0: kmean cluster 影像分割量化處理-kmean cluster color image quantization
Update : 2024-05-19 Size : 1024 Publisher : LMDX
【matlab】 ClusterPackV10 DL : 1: 聚类分析工具箱亚历山大博士写的，用于聚类分析，功能比较全-Cluster Analysis and Cluster Ensemble Software ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in the following. They are a selection out of my personal codebase for machine learning research. They contain general clustering algorithms as well as special algorithms developed in my research as indicated in the README files
Update : 2024-05-19 Size : 238592 Publisher : 王鹏
【Graph program】 icasso122 DL : 0: Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)
Update : 2024-05-19 Size : 16668672 Publisher : rocketyang
【Mathimatics-Numerical algorithms】 FuzzyClusteringToolbox DL : 0: Fuzzy聚类工具箱，含4种评价方式，内有文档及注释-FuzzyClusteringToolbox
Update : 2024-05-19 Size : 2137088 Publisher : xdlongyuan
【Mathimatics-Numerical algorithms】 Asetofsixstand-aloneFortranprogramsforclusteranaly DL : 0: 一些标准聚类分析程序，详细说明见《聚类分析引论》（1990） -This file contains the complete code of six stand-alone Fortran programs for cluster analysis
Update : 2024-05-19 Size : 41984 Publisher : yangtze
【AI-NN-PR】 GAjulei DL : 0: 该程序通过遗传算法对图像进行聚类分析，并实现了图像的分类功能，分类效果明显较其他算法好-The genetic algorithm procedure for cluster analysis of the images and to achieve the classification of image features, the classification results significantly better than the other algorithms
Update : 2024-05-19 Size : 181248 Publisher : fanyanwei
【Algorithm】 kmean DL : 0: k-means 算法的工作过程说明如下：首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。-k-means algorithm process as follows: First of all, the object data from the n choose k object as initial cluster centers and the remaining for the other object, then according to their cluster center with those of the similarity (distance) respectively assigned to them with the most similar (represented by cluster center) clustering obtained and then calculated for each new cluster center clustering (all objects in the cluster mean) repeated this process until the standard measure of function until the beginning of convergence.
Update : 2024-05-19 Size : 1024 Publisher : lining
【MultiLanguage】 2run-30 DL : 0: 入侵检测算法，计算机常用的工具，聚类分析-Intrusion detection algorithm, commonly used computer tools, cluster analysis
Update : 2024-05-19 Size : 64512 Publisher : jia
【Other】 k-means DL : 0: k均值聚类算法源码聚类算法学习的实例功能-k-means cluster algorithm
Update : 2024-05-19 Size : 3072 Publisher : wueching
【matlab】 CollectAnaly.m DL : 0: 很有用的Matlab聚类分析算法，很全面，保证可用-Matlab is used for cluster analysis algorithms, a very comprehensive and ensure that available
Update : 2024-05-19 Size : 1024 Publisher : 张华
【matlab】 FUZZCLUST DL : 0: matlab上实现的模糊聚类算法，相当有用，是一个聚类工具箱。-matlab on the fuzzy clustering algorithm to achieve very useful, is a cluster toolkit.
Update : 2024-05-19 Size : 12288 Publisher : 知风
【Special Effects】 109201305K DL : 0: K均值聚类算法对图像颜色进行聚类然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
Update : 2024-05-19 Size : 135168 Publisher : 小五子
【ARM-PowerPC-ColdFire-MIPS】 FS_FAT32 DL : 0: FAT32文件系统基于LPC2200，前后台环境，可自己修改适配于各种RTOS。验证环境: 搭载LPC2200的SmartARM2200开发板,使用该板上的SPI总线利用该程序读写SD卡由于试验的SD卡比较特殊,1簇仅1扇区,所以不排除该程序对于非该情况的出错可能-FAT32 file system based on the LPC2200, the environment around Taiwan, can modify their own adaptation in a variety of RTOS. Verification environment: SmartARM2200 with the LPC2200 development board, using the on-board SPI bus of the use of the program to read and write SD card SD card as a result of testing is rather special, 1 cluster only 1 sector, so the program does not exclude the situation for non- error may
Update : 2024-05-19 Size : 783360 Publisher : Freeman
【AI-NN-PR】 k-centers DL : 0: 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
Update : 2024-05-19 Size : 16384 Publisher : puguji

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