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[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
Date : 2025-12-20 Size : 5kb User : zc
[Mathimatics-Numerical algorithms] ClusteringToolbox DL : 0: 这是一个聚类的工具箱,可以用到数据挖掘等高级应用中去.-This is a cluster box can be used as data mining application to the High.
Date : 2025-12-20 Size : 61kb User : 胡志坤
[Mathimatics-Numerical algorithms] MATLABfuzzy-K-means DL : 0: MATLAB 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
Date : 2025-12-20 Size : 1kb User : puxx
[Mathimatics-Numerical algorithms] JAVAclustering DL : 0: JAVA 本程序所实现的功能为对数据进行无监督的学习，即聚类算法-JAVA the procedures for the functions of data unsupervised learning, clustering algorithm
Date : 2025-12-20 Size : 7kb User : puxx
[Mathimatics-Numerical algorithms] clusteringTestdata DL : 0: 聚类的测试数据集，matlab打开，3个cluster，1W个测试点，2维。-clustering test data sets, Matlab open, 3 cluster, 1W tests, the two-dimensional.
Date : 2025-12-20 Size : 69kb User : adrian
[Mathimatics-Numerical algorithms] Kmeans DL : 0: 包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类-Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering
Date : 2025-12-20 Size : 2kb User : XSSun
[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.
Date : 2025-12-20 Size : 2kb User : sisn
[Mathimatics-Numerical algorithms] Birch(Clustering) DL : 0: 经典的层次聚类算法Birch。在linux下运行通过，可以实现大规模数据的层次聚类。-Classical hierarchical clustering algorithm Birch. In linux run through, you can realize a large-scale data on hierarchical clustering.
Date : 2025-12-20 Size : 191kb User : 肖宪
[Mathimatics-Numerical algorithms] clique(Clustering) DL : 2: 经典的基于网格和密度的聚类算法。适合处理大规模数据，效果很好-The classic grid-based clustering algorithm and density. Suited to deal with large-scale data, the effect of good
Date : 2025-12-20 Size : 193kb User : 肖宪
[Mathimatics-Numerical algorithms] cure(Clustering) DL : 0: 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。-CURE (Clustering Using Representatives) is a database for large and efficient clustering algorithm. Based on the breakdown of the traditional clustering algorithm is spherical, equal-sized cluster of abnormal data more vulnerable. CURE adopted by a number of points on behalf of a cluster approach can better deal with these questions. And deal with large amount of data when using the random sampling, area way to improve its efficiency so that it can handle large amounts of data and efficient.
Date : 2025-12-20 Size : 21kb User : 肖宪
[Mathimatics-Numerical algorithms] DBScan(Clustering) DL : 0: 经典的基于密度的聚类算法，DBSCAN。适合处理球状数据，对大规模数据支持不好-Classical density-based clustering algorithm, DBSCAN. Suited to deal with spherical data, large-scale data to support the poor
Date : 2025-12-20 Size : 6kb User : 肖宪
[Mathimatics-Numerical algorithms] fpgrowth(Clustering) DL : 0: 经典的构建FP生长数的代码。可以用于数据挖掘中构建Birchtr-Construction of the classic growth of the number of FP code. Can be used for data mining to build Birchtr
Date : 2025-12-20 Size : 5kb User : 肖宪
[Mathimatics-Numerical algorithms] JuLei(Clustering) DL : 0: 一个简单的聚类程序。有点像Kmeans,但又不是kmeans。不过演示用还是可以的。数据输入有些费力-A simple clustering procedure. A bit like Kmeans, but not kmeans. But still be able to use the demo. Some data entry effort
Date : 2025-12-20 Size : 27kb User : 肖宪
[Mathimatics-Numerical algorithms] Kmeans(Clustering) DL : 0: 经典的划分聚类算法Kmeans。包能能用，而且提供数据。在linux下和windows下都测试过。-Classical clustering algorithm divided Kmeans. Package can use, and provide data. Under linux and windows in both tested.
Date : 2025-12-20 Size : 14kb User : 肖宪
[Mathimatics-Numerical algorithms] KMEANS DL : 0: K-MEANS算法输入：聚类个数k，以及包含 n个数据对象的数据库。输出：满足方差最小标准的k个聚类。处理流程：（1）从 n个数据对象任意选择 k 个对象作为初始聚类中心；（2）循环（3）到（4）直到每个聚类不再发生变化为止（3）根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；（4）重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object )
Date : 2025-12-20 Size : 3kb User : 快快
[Mathimatics-Numerical algorithms] breastcancerju DL : 1: K-MEANS聚类算法，以及PSO和QPSO算法改进K-MEANS算法，breastcancer数据验证了该分类模型的有效性-K-MEANS clustering algorithm, and the PSO algorithm and QPSO to improve K-MEANS algorithm, breastcancer data verified the validity of the classification model
Date : 2025-12-20 Size : 42kb User : 李慧
[Mathimatics-Numerical algorithms] k_means DL : 0: k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 Matlab 源代码，以兰花数据集作为测试对象。-k-means algorithm to accept input k then n data object is divided into k-clustering in order to make available to the cluster to meet: the same objects in clustering high similarity and objects in different clustering the similarity smaller. Cluster similarity is the use of the clustering of objects by means of a
Date : 2025-12-20 Size : 3kb User : 烈马
[Mathimatics-Numerical algorithms] Kmean DL : 0: 自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
Date : 2025-12-20 Size : 4kb User : 陳志強
[Mathimatics-Numerical algorithms] demo DL : 0: 实现数据挖掘的几个算法，包括模糊聚类，K均值，以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
Date : 2025-12-20 Size : 250kb User : Haha
[Mathimatics-Numerical algorithms] clustering DL : 0: Fuzzy Clustering. Problem: To extract rules from data Method: Fuzzy c-means Results: e.g., finding cancer cells
Date : 2025-12-20 Size : 1.87mb User : sunda

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