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【Other resource】 clustering DL : 0: 模式识别学习应用的clustering算法学习程序。对学习模式识别很有用。
Update : 2008-10-13 Size : 1890 Publisher : wangwenfeng
【Special Effects】 clustering DL : 0: clustering分类算法，模式识别中的，可用于遥感影像分类识别
Update : 2008-10-13 Size : 45150 Publisher : minlanxi
【Mathimatics-Numerical algorithms】 cure(Clustering) DL : 1: CURE（Clustering Using Representatives）是一种针对大型数据库的高效的聚类算法。基于划分的传统的聚类算法得到的是球状的，相等大小的聚类，对异常数据比较脆弱。CURE采用了用多个点代表一个簇的方法，可以较好的处理以上问题。并且在处理大数据量的时候采用了随机取样，分区的方法，来提高其效率，使得其可以高效的处理大量数据。
Update : 2008-10-13 Size : 21916 Publisher : 肖宪
【Mathimatics-Numerical algorithms】 Clustering DL : 0: Determination of number of clusters in K-Means Clustering and Application in color image segmenta
Update : 2008-10-13 Size : 26114 Publisher : liuhong
【Other resource】 clustering DL : 0: 動態聚類k-means演算將輸入在程式中的數據資料給予適當的分群-dynamic clustering k-means figure:proper hiving off of input datum in programme
Update : 2008-10-13 Size : 829750 Publisher : 傅國欽
【SourceCode】 Ant-based clustering DL : 0: Ant-based clustering
Update : 2011-11-03 Size : 118496 Publisher : lethevv
【Applications】 k-average DL : 0: k平均聚类算法，实现聚类的图形显示-k average clustering algorithm to achieve the cluster graphics
Update : 2024-05-02 Size : 51200 Publisher : 齐玉祥
【source in ebook】 lbg DL : 0: 矢量量化聚类程序，c++编写，已调试通过，内附说明文档。-VQ clustering procedure, c preparation, testing, documentation attached.
Update : 2024-05-02 Size : 3072 Publisher : 赵姝彦
【Documents】 FailoverClustering DL : 0: SQL Clustering
Update : 2024-05-02 Size : 278528 Publisher : 清风
【AI-NN-PR】聚类CLIQUE算法的基本思路 DL : 0: 聚类CLIQUE算法的基本思路.zip-clustering algorithm basic ideas. Zip
Update : 2024-05-02 Size : 163840 Publisher : 朱辉辉
【Internet-Network】利用聚类算法找出新的攻击 DL : 0: 利用聚类算法找出新的攻击,属网络安全领域-use clustering algorithm to find new attacks, is a network security
Update : 2024-05-02 Size : 110592 Publisher : 赵艳
【AI-NN-PR】竞争网络聚类 DL : 1: 神经网络中的竞争网络聚类-neural network competition in the network clustering
Update : 2024-05-02 Size : 1024 Publisher : 梁白鸥
【Industry research】 cluster_KM_DS DL : 0: 聚类研究，实现了基于距离，基于密度和改进算法-clustering, based on the distance to achieve, based on density and improved algorithm
Update : 2024-05-02 Size : 73728 Publisher : 建国
【Mathimatics-Numerical algorithms】 HCL DL : 0: 数据挖掘中的聚合层次聚类算法，有完整的注释-Data Mining syndication hierarchical clustering algorithm, a complete Notes
Update : 2024-05-02 Size : 5120 Publisher : zc
【AI-NN-PR】一种基于蚁群算法的聚类组合方法 DL : 0: 一种基于蚁群算法的聚类组合方法，具体可以查看里面书的内容。-ant colony algorithm based on the combination of clustering methods, the specific can view the contents inside.
Update : 2024-05-02 Size : 141312 Publisher : 徐高波
【AI-NN-PR】 K－均值聚类算法C++编程 DL : 0: K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.
Update : 2024-05-02 Size : 4096 Publisher : 韩磊
【AI-NN-PR】以K－均值聚类结果为初始解的模拟退火聚类 DL : 0: 由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the 'k-means clustering algorithm' mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.
Update : 2024-05-02 Size : 5120 Publisher : 韩磊
【AI-NN-PR】自组织特征映射应用实例 DL : 0: 开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.
Update : 2024-05-02 Size : 1024 Publisher : 李洋
【Other】 my_clustering DL : 0: 我自己编写的分层聚类算法，类内采用最大距离，类间采用最小距离实现-myself prepared by the Hierarchical clustering algorithm, the largest category within distance between categories of use to achieve minimum distance
Update : 2024-05-02 Size : 1024 Publisher : 张成
【ADO-ODBC】新建 Microsoft Word 文档 (4) DL : 0: 模糊聚类分析算法fuzzy_k_means,主要用于数据挖掘领域.-fuzzy clustering algorithm fuzzy_k_means, mainly for data mining areas.
Update : 2024-05-02 Size : 3072 Publisher : 许朝

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