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【MPI】 K-meanCluster DL : 0: 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 training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. -How the K-mean Cluster workStep 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 training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
Update : 2024-05-05 Size : 2048 Publisher : yangdi
【Post-TeleCom sofeware systems】 simu DL : 0: This program shows the distributions of the co-channel interference in forward and reverse link in the cellular mobile system with cluster size N, when the mobile subscriber (MS) is at random positions of a cell. -This program shows the distributions of the co-channel interference in forward and reverse link in the cellular mobile system with cluster size N, when the mobile subscriber (MS) is at random positions of a cell.
Update : 2024-05-05 Size : 3072 Publisher : conan
【Other】 SensorSimMAXD DL : 0: OMNET++仿真三色算法的源码,三色算法是无线传感器中一个典型的分簇算法-OMNET++ Simulation algorithm for three-color source, tri-color algorithm is a typical wireless sensor in the sub-cluster algorithm
Update : 2024-05-05 Size : 838656 Publisher : heheh
【Data structs】 cluster DL : 0: 中心对称的聚类算法，paper。一种基于中心对称的聚类算法-Center symmetric algorithm, paper. Center-based symmetric algorithm
Update : 2024-05-05 Size : 120832 Publisher : caoyuan
【Special Effects】 2A DL : 0: 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割-For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
Update : 2024-05-05 Size : 419840 Publisher : xxl
【MPI】 dbscan DL : 0: 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 the spatial database found clusters of arbitrary shape.-DBSCAN is a density-based clustering algorithm. Changed algorithm will have a high enough regional divided into clusters, and to be with noise found in the spatial database cluster of arbitrary shape.-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. And to be with the noise of the spatial database found clusters of arbitrary shape.
Update : 2024-05-05 Size : 24576 Publisher : 蔡宗欣
【Communication】 cbrp.tar DL : 0: cbrp协议ns2实现，ns2平台下实现，基于簇的路由协议算法经典！-ns2 realize cbrp agreement, ns2 platform realize, based on the cluster routing protocol algorithm classic!
Update : 2024-05-05 Size : 70656 Publisher : ludelai
【AI-NN-PR】 cluster-1.37.tar DL : 0: 聚类算法包,包括K-Means,性能好，有例程-Clustering algorithm package, including K-Means, a good performance, there are routines
Update : 2024-05-05 Size : 969728 Publisher : haibo zheng
【Mathimatics-Numerical algorithms】 kmeans DL : 0: kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in an array.-algorithm kmeans realize a simple k-means clustering routine.returns the cluster labels of the data points in an array.
Update : 2024-05-05 Size : 2048 Publisher : sisn
【AI-NN-PR】 FuzzyClusterV3[VB] DL : 0: 聚类分析算法（FuzzyCluste），vb实现-Cluster analysis algorithm (FuzzyCluste), vb realize
Update : 2024-05-05 Size : 21504 Publisher : 陈文
【matlab】 FCM DL : 1: 模糊聚类分析传递闭包算法FCM的matlab程序，能对数据进行分类处理-Fuzzy Cluster Analysis of transitive closure of the FCM algorithm matlab program can deal with data classification
Update : 2024-05-05 Size : 2048 Publisher : 王璐瑶
【AI-NN-PR】 fcm_c DL : 0: 模糊聚类分析传递闭包法FCM的C语言程序，能对数据进行分类，广泛应用于模式识别中-Fuzzy cluster analysis method FCM transitive closure of the C language program that can classify the data is widely used in Pattern Recognition
Update : 2024-05-05 Size : 1024 Publisher : 王璐瑶
【AI-NN-PR】 isodata_iris DL : 0: 聚类分析isodata算法的C程序，实现对iris数据集分类的功能-ISODATA cluster analysis algorithm C procedures, to achieve the classification of iris data set features
Update : 2024-05-05 Size : 3072 Publisher : 王璐瑶
【AI-NN-PR】 mode DL : 0: 用vc++开发的图像分类，包括聚类分析，模糊聚类，遗传算法聚类等。有界面，代码！-With vc++ Developed image classification, including cluster analysis, fuzzy clustering, genetic algorithms, such as clustering. Has interface code!
Update : 2024-05-05 Size : 7923712 Publisher : 朱
【Mathimatics-Numerical algorithms】 kmeansNetlab DL : 0: KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
Update : 2024-05-05 Size : 2048 Publisher : 西晃云
【AI-NN-PR】 cluster-1.23.tar DL : 0: 聚类算法的C语言库，可以再多个平台下使用，与大家分享-Clustering algorithm of C language libraries, multiple platforms can be used to share with you
Update : 2024-05-05 Size : 922624 Publisher : WANG Dong
【matlab】 GuideandMeasurementReportofUsingpMatlab DL : 0: pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo simulation codes.
Update : 2024-05-05 Size : 58368 Publisher : wei yu
【Editor】 fuzzy-c-cluster DL : 0: 这是关于模糊K聚类的pdf文件，供大家学习-This is on the K fuzzy clustering pdf document for everyone to learn
Update : 2024-05-05 Size : 71680 Publisher : zhs
【Algorithm】 KClustering DL : 0: 能计算用户输入的聚类，并进行K分。输出的结果为每次计算的中心点的坐标和每个点到中心的距离-Can be entered by the user computing cluster, and K points. Output of the calculation for each of the coordinates of the center and each point the distance to the center
Update : 2024-05-05 Size : 695296 Publisher : 黄伟
【AI-NN-PR】 oLitU9hX DL : 0: 这是一个聚类算法，其中含有对初始化聚类中心的优化。-This is a clustering algorithm, which contains the optimal cluster center initialization.
Update : 2024-05-05 Size : 3072 Publisher : fanliutong

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