搜索资源列表
clustering
- 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
ISODATA.Clustering
- 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
clustering
- 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)
clustering
- 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
new-fuzzy-clustering
- 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, w
clustering
- 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 clu
Clustering
- 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.
clustering
- 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
clustering
- 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
Birch(Clustering)
- 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.
clique(Clustering)
- 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
cure(Clustering)
- 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
DBScan(Clustering)
- 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
Isodata(Clustering)
- 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
Kmeans(Clustering)
- 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.
Clustering
- Determination of number of clusters in K-Means Clustering and Application in color image segmenta
clustering
- 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
clustering
- visual c++编程实现 图片聚类算法-visual c++ realize picture programming Clustering Algorithm
Clustering
- 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
Clustering
- 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 c