这两个数据结构被用来高效地找出近邻数据,同时能加速基于距离的聚类(distance-base… www1.huachu.com.cn|基于 1 个网页 2. 聚类分析 聚类分析研究了许多年,主要集中在基于距离的聚类分析(distance-based clustering) [4] 上。在数据挖掘领域,研究工作己经集 … www.docin.com|基于 1 个网页...
而是计算一个点的外包正方形， 正方形的边长由用户指定或程序设置一个默认值） ， 若相交， 则把该点...
this work focuses on non-hierarchical and distance-based clustering. Because clustering can be formulated as a combinatorial optimization problem, several algorithms using Ising machines have been developed28,29,30,31,32,33,34,35
Learning the kernel matrix for XML document clustering XML document clusteringdocument structural informationedit-distance based methoditerative algorithmThe rapid growth of XML adoption has urged for the need of a... J Yang,WK Cheung,X Chen - IEEE International Conference on E-technology 被引量: ...
a consistent use of metric notions.One advantage is the possibility of using concepts and results from the rich literature of metric spaces.Secondly, a mathematically more precise formulation of the problem of clustering will facilitate the discovery of suitable algorithms with well-defined properties....
In this paper, we present a distance-based clustering algorithm for grouping database user sessions. The algorithm considers both local and global similarities between sessions and incorporates three distance metrics in the computation of the distance between two sessions. We describe the three metrics...
摘要: Clustering of data is one of the main applications of the Self-Organizing Map (SOM). U-matrix is a commonly used technique to cluster the SOM visually. However, in order to be really useful, clusterin关键词: clustering data mining exploratory data analysis self-organizing map ...
(ND), which plays the role of organizing all the samples into an effective Graph, called the in-tree. Due to its effective characteristics, this in-tree proves very suitable for data clustering. The main advantages of this in-tree-based clustering method are as follows: 1) unlike Kmeans,...
The classic K-means clustering algorithm is based on the Euclidean distance,it applies only to spherical structure clustering and in the processing of data without regard to the correlation between variables and differences in the importance of each variable.To solve the above problem,this paper prop...
6) genetic clustering algorithm (GCA) 遗传聚类算法(GCA) 补充资料:遗传距离(genetic distance) 遗传距离(genetic distance) 衡量品种间若干性状综合遗传差异大小的指标。育种目标所要求的性状不止一个,为了能够更全面地反映亲本品种间的遗传差异,需要对多个性状综合考虑,从而引伸出遗传距离的概念。按多元统计分析方法计...