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【Mathimatics-Numerical algorithms】 LEACH DL : 0: this paper develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Update : 2024-05-18 Size : 347136 Publisher : arvind
【AI-NN-PR】 C_PSO DL : 0: 粒子群聚类算法，对于初学者是很好的东西，要下的赶快-Particle cluster-like algorithm, for beginners is a good thing, it is necessary to quickly
Update : 2024-05-18 Size : 1024 Publisher : 李超
【AI-NN-PR】 rbf DL : 0: 基于聚类的径向基神经网络算法，matlab实现-Cluster-based radial basis function neural network algorithm, matlab implementation
Update : 2024-05-18 Size : 4096 Publisher : axun
【TreeView】 ClusterTreeViewCode DL : 0: Cluster and TreeView are an integrated pair of programs for analyzing and visualizing the results of complex microarray experiments.
Update : 2024-05-18 Size : 345088 Publisher : Son Tran
【Other】 lustre DL : 0: linux集群分布式文件系统lustre的说明文档，希望需要的参考，很有帮助-linux cluster distributed file system lustre of the documentation, hoping the needs of reference, very helpful
Update : 2024-05-18 Size : 242688 Publisher : Jacky
【File Format】 cluster DL : 0: fat file system..hdd cluster
Update : 2024-05-18 Size : 96256 Publisher : af
【Graph Recognize】 Cluster DL : 0: 一个用VC编写的聚类案例，可以实现C聚类、模糊聚类和应用遗传算法对样品进行聚类分析 -Written in a cluster with VC cases, can be achieved C clustering, fuzzy clustering and genetic algorithm for cluster analysis of samples
Update : 2024-05-18 Size : 7714816 Publisher : 刘钢
【AI-NN-PR】 FuzzyClusteringToolbox DL : 0: 这是一个关于FCM,GG,GK算法的源码，里面包含PC,PE,XB聚类有效性度量的matlab源码，并含有程序说明文档-This is the one on FCM, GG, GK algorithm source code, which contains PC, PE, XB cluster validity measure of the matlab source code, and contains procedures for documentation
Update : 2024-05-18 Size : 2100224 Publisher : yyifang
【Data structs】 Cluster DL : 0: clustering data at matlab
Update : 2024-05-18 Size : 1024 Publisher : lutfi
【Mathimatics-Numerical algorithms】 MR DL : 1: 模式识别，距离计算，聚类分析，判别函数，判断准则等的算法实现-Pattern recognition, distance calculation, cluster analysis, discriminant function, the algorithm to determine criteria
Update : 2024-05-18 Size : 139264 Publisher : 王胜
【GUI Develop】 CT_WSNv1 DL : 0: the code describes about the aggregate scheduling , system model , bandwidth requirement , buffre requirements & the use of zigbee protocol for existing cluster tree wsn protocol that gives better output in worst case dimension protocols
Update : 2024-05-18 Size : 27648 Publisher : nehasharma
【AI-NN-PR】 knn DL : 0: k最邻近算法，经典的分类算法，绝对有帮助-k-nearest neighbour algorithm,it is a classical algorithm for text cluster
Update : 2024-05-18 Size : 17408 Publisher : freesunshine
【MPI】 qr DL : 0: OpenMP 实现QR 分解环境曙光 4000A集群-OpenMP to achieve QR decomposition Dawning 4000A cluster environment
Update : 2024-05-18 Size : 2048 Publisher : liuqiang
【matlab】 kmean_zmx_try DL : 0: k-means Cluster,kmean_zmx_try.rar,k均值聚类算法的matlab源代码-k-means Cluster,kmean_zmx_try.rar
Update : 2024-05-18 Size : 1024 Publisher : zmx
【AI-NN-PR】 gaMatlab DL : 0: 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。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard Fuzzy C-Means clustering algorithm to obtain the optimal classification result.
Update : 2024-05-18 Size : 1024 Publisher : zsy
【Documents】 nesc-1.2.8a-1.cygwin.i386 DL : 0: OMNET++ Simulation algorithm for three-color source, tri-color algorithm is a typical wireless sensor in the sub-cluster algorithm
Update : 2024-05-18 Size : 1095680 Publisher : Waqas Ahmed
【AI-NN-PR】 ga-julei DL : 0: 基于遗传算法的聚类分析的一些论文资料很好很强大-Cluster analysis based on genetic algorithms good information on some of the papers is very strong
Update : 2024-05-18 Size : 1397760 Publisher : 陈贵龄
【Algorithm】 hartigansSLC_OpenCV DL : 0: 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 maximum cluster "radius" 2. Start with zero clusters 3. Add each item to be clustered to: * Closest cluster if distance <= r * New cluster if distance to closest cluster > r 4. Compute new center from members in cluster 5. Empty the clusters (keeping the centers) 6. Return to step 3 (until no changes are made) -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 maximum cluster "radius" 2. Start with zero clusters 3. Add each item to be clustered to: * Closest cluster if distance <= r * New cluster if distance to closest cluster > r 4. Compute new center from members in cluster 5. Empty the clusters (keeping the centers) 6. Return to step 3 (until no changes are made)
Update : 2024-05-18 Size : 54272 Publisher : sas
【Other】 Programming.Collective.Intelligence DL : 0: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-The book and calculation of statistical machine learning as the theme background, specifically on how to dig and analyze data on the Web and resources, how to analyze the user experience, marketing, personal tastes and many other information, and draw useful conclusions, through a complex algorithm from the Web site to access, collect and analyze user data and feedback information in order to create a new user value and business value. Informative book, including the collaborative filtering technology (to achieve related product recommendation function), the cluster data analysis (in large-scale data set to explore a subset of similar data), search engine core technology (reptiles, index, query engine, PageRank algorithm, etc.), Search for massive information and statistical analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), with technology forecasting and decision tree modeling, social network information matching techn
Update : 2024-05-18 Size : 2633728 Publisher : 陈磊
【matlab】 kmeans DL : 0: K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids. There are two function for that the kMeanCluster and distMatrix
Update : 2024-05-18 Size : 2048 Publisher : Luis

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