搜索资源列表
K_CenterPoint_PAM
- k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
isodata-cluster
- isodata迭代自组织聚类算法源代码，直接运行，效果不错-Iterative Selforganizing Data Analysis cluster algorithm，source code without error
GAKMeans
- 由于Kmeans聚类分析是一个局部的搜索过程，因此加入遗传算法进行全局搜索选择最优的初始中心点使得Kmeans算法产生较大的改进-Since Kmeans Cluster analysis is a local search process, so join a global search for the genetic algorithm to the optimal initial centers such Kmeans algorithm produces greater improve
08ClusAdvanced-1
- 综合介绍聚类分析的方法，从常用方法到高级方法-Overview cluster analysis, the common method to advanced methods
maxmin
- 数据挖据中聚类问题的实现 通过简单数据进行聚类分析 该聚类为最大最小聚类-According to the data mining, the clustering problem is achieved by using simple data to cluster analysis.
cengcijvlei
- 层次聚类分析也称系统聚类法或分级聚类法，是实际工作中采用最多的方法之一-Hierarchical cluster analysis, also known as system clustering or hierarchical clustering method, is one of the most used methods in practical work.
fuzzy
- 模糊聚类分析是根据客观事物间的特征、亲疏程度、相似性，通过建立模糊相似关系对客观事物进行聚类的分析方法。-Fuzzy clustering analysis based on objective characteristics, the degree of relatedness, similarity, through the establishment of fuzzy cluster analysis method of objective things.
BPFPA-for-cluster-analysis
- 花粉授粉聚类算法,实现多种数据集测试，聚类效果相比更优秀-Flowes Pollination clustering algorithm
聚类
- 相似性划分，Q型聚类，是理想的多变量统计技术，主要有分层聚类法和迭代聚类法。 聚类分析也称群分析、点群分析，是研究分类的一种多元统计方法。(Similarity classification and Q clustering are ideal multivariate statistical techniques, including hierarchical clustering and iterative clustering. Cluster analysis, also known a