2) improved classification
改进分类法
3) improved clustering algorithm
改进的聚类算法
1.
To answer the questions of the existing FCM involving local limit value and bad scalability,the paper puts forward an improved clustering algorithm MFCM(minimum fuzzy C-means) basing on MCDSA(minimum connected donating set algorithm).
针对现有FCM聚类算法中存在的局部极值和伸缩性较差等问题,提出了基于全部最小连通支配集算法(minimum connected donating set algorithm,MCDSA)的改进的聚类算法(minimum fuggy C-means,MF-CM)。
5) improved clustering
改进聚类算法
1.
Firstly,the structure of fuzzy neuro net(FNN)is decided by improved clustering,then the primise parameters and consequent parameters of FNN are trained by hybrid learning algorithm,finally related data are input into the trained FNN to forecast electricity load.
提出了基于改进聚类算法的模糊神经网络的短期负荷预测方法。
6) cluster analysis
聚类分析法
1.
An analysis on the inshore water quality on the Lusi fishing grounds by principal component analysis(PCA) and cluster analysis;
应用主成分法和聚类分析法分析吕四渔场近岸海水水质
2.
This paper,based on the factor analysis as well as cluster analysis,studies the kernel competitiveness for 16 Journals in Jiangsu province in an attempt to explore an effective way to evaluate the kernel competitiveness to help the journal of higher learning to raise their academic status and influence.
文章运用因子分析法和聚类分析法对江苏省内的16家高校学报的核心竞争力进行了综合评价,试图探索出一种对学报竞争力进行综合评价的有效方法,以帮助学报提高学术地位和影响力。
3.
Cluster Analysis and Principal Components Analysis are introduced in thecomparative analysis of residents living standard in every municipal city in Hunan provincein 2004.
本文结合恩格尔系数研究居民生活水平的优点,采用聚类分析法与主成分分析法对2004年湖南省各地市州居民生活水平进行比较分析,给出了这些城市居民生活水平的综合得分及其排序,从而更真实地衡量湖南省各地市州居民生活水平。
补充资料：聚类分析评定法
聚类分析评定法
【聚类分析评定法】这是利用数学模型，借助计算机对市地进行多因素评价的一种方法。具体作法是选择影响市地质量的若干因索，并视其地位赋予相应权重。然后根据各样本之间的相似程度或距离进行分门别类。其计算公式为:n。=丫息(、一、k)2，(n一l)k二1，2，……n，式中dij为第i单元与第j单元的距离，x*和xjk分别为单元i和单元j的第k个因素得分。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条