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【matlab】 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 : 2024-04-19 Size : 829440 Publisher : 傅國欽
【matlab】 ISODATA.Clustering DL : 0: ISODATA聚类实验模式识别课程实验所用的源程序-ISODATA clustering pattern recognition experimental courses used in the experimental program
Update : 2024-04-19 Size : 7168 Publisher : 王旺
【Other】 clustering DL : 0: 几种数据挖掘中聚类的几种算法介绍：rock,sprint,birch（英文版的）-Several data mining Clustering Algorithms Introduction: rock, sprint, birch (English)
Update : 2024-04-19 Size : 2589696 Publisher : 古月
【AI-NN-PR】 clustering DL : 0: 一个聚类算法用K-mean处理后迭代，论文发表在PAK-A clustering algorithm with K-mean treatment iteration, papers published in the PAK
Update : 2024-04-19 Size : 2458624 Publisher : 杜亮
【Post-TeleCom sofeware systems】 new-fuzzy-clustering DL : 0: 本文目前模糊C-均值聚类算法不适用于有噪声和样本不均衡等问题,借助改进算法AFCM和WFCM的思想,提出另一种新的聚类算法。它是AFCM和WAFCM结合的一种算法,但有着更好的健壮性和聚类效果。-This article is currently fuzzy C-means clustering algorithm is not applicable to samples of noise and uneven and so on, with improved algorithm AFCM and WFCM ideas, put forward a new clustering algorithm. It is a combination of AFCM and WAFCM an algorithm, but has better robustness and clustering effect.
Update : 2024-04-19 Size : 198656 Publisher : guoguo
【Data structs】 clustering DL : 0: 1. 分层次聚类法（最短距离法） 2. 最简单的聚类方法 3. 最大距离样本 4. K 平均聚类法（距离平方和最小聚类法） -1. Hierarchical clustering method (the shortest distance method) 2. The simplest clustering method 3. The maximum distance the sample 4. K average clustering method (distance from the square and the smallest clustering method)
Update : 2024-04-19 Size : 47104 Publisher : math
【JSP/Java】 Clustering DL : 0: 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language.
Update : 2024-04-19 Size : 41984 Publisher : 张志娟
【AI-NN-PR】 clustering DL : 0: 聚类分类理论研究及其应用，很好的一篇关于聚类的完整论文-Clustering classification theory and its applications, a very good article on the integrity of clustering thesis
Update : 2024-04-19 Size : 816128 Publisher : 冀振兴
【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-clustering classification algorithm, pattern recognition, can be used for remote sensing image classification and recognition
Update : 2024-04-19 Size : 1980416 Publisher : minlanxi
【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.
Update : 2024-04-19 Size : 195584 Publisher : 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
Update : 2024-04-19 Size : 197632 Publisher : 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.
Update : 2024-04-19 Size : 21504 Publisher : 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
Update : 2024-04-19 Size : 6144 Publisher : 肖宪
【Mathimatics-Numerical algorithms】 Isodata(Clustering) DL : 0: 经典的划分聚类算法，isodata。可以不需要提供K值，进行聚类-Classic division of clustering algorithm, isodata. K value can be no need to provide for clustering
Update : 2024-04-19 Size : 116736 Publisher : 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.
Update : 2024-04-19 Size : 14336 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 : 2024-04-19 Size : 25600 Publisher : liuhong
【Graph Recognize】 clustering DL : 0: 聚类分析是对探测数据进行分类分析的一个工具，聚类分析的结果可以被用来对数据提出初始假设，分类新数据，测试数据的同类型及压缩数据。-Cluster analysis is a data classification analysis to detect a tool, clustering analysis can be used to make the initial assumption of data, classification of new data, test data and the same type of data compression.
Update : 2024-04-19 Size : 7920640 Publisher : 相同
【Algorithm】 clustering DL : 0: visual c++编程实现图片聚类算法-visual c++ realize picture programming Clustering Algorithm
Update : 2024-04-19 Size : 6899712 Publisher : zw
【matlab】 Clustering DL : 0: 基于matlab的关于复杂网络中的群聚系数的算法源程序，与大家共享-Matlab based on the complexity of the network clustering coefficient algorithm source code, and share
Update : 2024-04-19 Size : 1024 Publisher : huanglimin
【AI-NN-PR】 Clustering DL : 0: 根据节点分区情况，确定成簇数目是分簇算法设计的重点，这两个算法对成簇数目进行优化，均匀节点能耗，延长网络寿命。-According to the node partition, determine the number of clusters is a clustering algorithm is designed to focus on these two algorithms to optimize the number of clusters, uniform node energy consumption, extend the network lifetime.
Update : 2024-04-19 Size : 774144 Publisher : 苏可

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