hierarchical clustering
[计] 分级群聚
2026-04-13 09:41 浏览次数 31
[计] 分级群聚
and the most important part in hierarchical image retrieval is hierarchical clustering algorithm.
层次性图像检索的核心是高效的层次性聚类算法。
partition clustering and hierarchical clustering are two fundamental clustering methods.
划分聚类和分级聚类是两种基本的聚类手段。
in this paper, cluster ensemble methods based on hierarchical clustering and clustering validity have been studied.
本文对基于层次聚类的簇集成方法及聚类的有效性进行了研究。
a divisive hierarchical clustering algorithm for blind classification of radar emitters based on grey relational measure is proposed.
自适应层次化聚类算法将单层拓扑映射为一个层次化结构,改善了应用层多播算法的可扩展性。
then it combines the sub-clusters with higher similarities in the hierarchical clustering method and gets the final clustering result.
再按照层次聚类的方法,合并连接相似度高的子簇,得到最终的聚类结果。
adaptive hierarchical clustering algorithm(ahca) maps a flat topology to a hierarchical one while it almost always introduces a bad degree metric and is not suitable for data distribution.
自适应层次化聚类算法将单层拓扑映射为一个层次化结构,改善了应用层多播算法的可扩展性。
absrtact: the traditional hierarchical clustering algorithm for clustering process, only uses the distance between samples as the sole criterion for similarity, this description is too simple.
摘 要:传统的分层聚类算法在聚类过程中,仅使用样本间的距离作为相似度的唯一标準,其描述过于单一。
objective six familiar conditional hierarchical clustering methods were discussed, and some methods of 2-dimensional ordinal sample were selected which results were relative even.
目的探讨六种常见的条件系统聚类法的性质,并选择一到两个适于二维有序样品聚类的样品个数比较均匀的条件系统聚类法。
the cluster distance computing method is the key issue affecting the performance of hierarchical clustering algorithm.
在聚类的过程中簇间距离计算的準确性是影响算法性能的重要因素。
based on generator rotor angle responses, raw dynamic scenario set is compressed through hierarchical clustering analysis.
以发电机转子角响应的信息含量为性能指标,通过系统聚类分析将动态场景集压缩;
methods the collating vectors of individual expert are classified with hierarchical clustering principle and the expert weight coefficients are determined according to the result of classification.
方法采用聚类分析原理和方法,将专家个体排序向量进行分类,根据分类结果确定专家权重系数。
after explaining the theory of fsvm, the svm based on hierarchical clustering and decision tree is introduced to solve the multi-class recognition problem of fault line selection.
首先阐述了模糊支持向量机(fsvm)的原理,应用分级聚类和决策树思想在两类支持向量机的基础上构造基于聚类的多类fsvm实现故障选线。
as an agglomerative hierarchical clustering algorithm, cure firstly employs the method of representing clusters by selecting some 「representative points」.
cure算法是一种凝聚的层次聚类算法,它首先提出了使用多代表点描述簇的思想。
a fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify different types of emergency materials reserve pattern finally.
通过建立应急物资模糊综合评价模型,结合层次聚类方法对数据分析,确定不同种类应急物资的储备模式。
gaussian mixture density modelling and decomposition (gmdd) is a hierarchical clustering method based on robust statistical theory.
高斯混合密度降解模型(gmdd)是一种基于稳健统计理论的层次聚类方法。
methods of class comparing, hierarchical clustering and gene ontology comparison were used to analyze the difference of gene expression and gene function.
采用了分类对比法、分层聚类法、基因功能分类对比法来寻找基因表达差异及对功能归属进行了分析。
hierarchical clustering of multivariate data or distance data;
聚类多元数据或距离数据;
based on the hierarchical clustering framework, an effective algorithm csp is developed to mine compressed sequential patterns.
基于层次聚类框架,设计了一种有效的挖掘压缩序列模式的算法csp。
at the same time the hierarchical clustering method is introduced and then a new formula is gived for renewal speed of the particle in the cpsoc algorithm.
同时通过谱系聚类方法进行聚类,并且给出新的速度更新公式。
sequential searching and hierarchical clustering are used to improve the efficiency of segmentation.
采用序贯搜索及由「粗」到「精」的分层聚类相结合的策略,进一步提高了分割效率。
we used random matrix theory(rmt)to remove the noises in lung cancer gene expression data and used the modules approach and the hierarchical clustering approach to construct the gene networks.
利用随机矩阵理论(rmt)方法除去肺癌基因表达数据中的噪声,并将去噪后的数据分别用模块方法和等级聚类方法进行处理。
to recognize the posture of rat automatically during behavioral experiment, a posture recognition algorithm based on contour curvature and hierarchical clustering analysis was proposed.
为了对行为实验中大鼠的体态进行自动识别分析,提出了一种基于轮廓曲率和谱系聚类的识别算法。
based on the current popular hierarchical clustering model of cold dark matter (cdm), the semi-anlytical model (sam) of galaxy formation have made impressive progress.
基于目前流行的冷暗物质等级成团理论的星系形成的半解析模型取得了很大进展。
this is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and k-means clustering segmentation of mesh model.
与三维网格模型的k均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。
the guizhou sheldrakes among tne famous chinese duck breeds were identified using both hierarchical clustering methods and fuzzy classification methods.
运用系统聚类和模糊聚类方法,确认贵州麻鸭在我国主要地方鸭种中的分类地位。
the data are reduced in both horizontal and vertical directions by using hierarchical clustering and rough set methods.
通过系统聚类和粗糙集两种方法进行数据约简,使数据得到横向和纵向两个方向上的约简。