1.
Market Segmentation Based on Clusterwise Linear Regression;
聚类回归分析(CLR)在市场细分研究中的应用
2.
Classification for Multiple Linear Regression Methods
多元线性回归模型的聚类分析方法研究
3.
Exploration of Cluster Analysis and Logistic Analysis on Quantitive Diagnosis of Syndromes in Chinese Medicine
聚类分析结合logistic回归分析在中医证候诊断量化研究中的应用探讨
4.
Preliminary Research on Patterns of TCM of NAFLD Based on Cluster, Factor and Logistic Regression Analysis;
基于聚类、因子和logistic回归分析对NAFLD中医证候的初步研究
5.
The Study of Kernel Methods in Classification, Regression and Clustering with Applications
核方法在分类、回归与聚类方面的研究及应用
6.
Improved RBF Regression Using Fuzzy Partition and Supervised Fuzzy Clustering
基于模糊分组和监督聚类的RBF回归性能改进
7.
How to Extend Logistic Regression Model to Statistic Analysis with Correlated Data;
两类分析相关数据的Logistic回归模型
8.
Classification and Regression Tree (CART) for Prediction of Outcome after Severe Head Injury;
分类和回归树预测重型颅脑损伤的预后分析
9.
Logistic Regression Analysis of Influence Factors in Medical Risk
医疗风险影响因素的有序多分类Logistic回归分析
10.
Applicatian of R-type Clustering Analysis in Attributian Research of P.E. Poor Students;
R型聚类分析在体育差生归因研究中的应用
11.
Nominal level variable and ordinal level variable of regression analysis in the research of physical sociology;
体育社会学研究中定类、定序变量的回归分析
12.
Logistic Regression Analysis on TCM Constitutional Factors of Overweight and Obesity
中医体质类型与超重/肥胖关系的Logistic回归分析
13.
DIETARY CAROTENOID CONSUMPTION BY REGRESSION ANALYSIS
利用回归分析估算膳食类胡萝卜素摄入量
14.
Regional Classification According to Appearance Character of Domestic Flue-cured Tobacco Based on Two Dimensional Graph Theory Cluster Analysis
基于两维图论聚类分析的烤烟外观质量特征区域归类
15.
In practice, we can dispart hereinafter class: classification, clustering, regression, sequence, etc.
在实际应用中,往往根据模式的实际作用细分为以下几种:分类、聚类、回归、序列、时间序列等。
16.
The Logistic Regression Analysis of Coronary Disease Risk Factors and Bivariate Correlation with Aggregate Function of Platelet.
冠心病危险因素的Logistic回归及血小板聚集功能异常相关分析
17.
dard least squares regression analysis
标准最小平方回归分析
18.
Tumor Classification Using Gene Expression Data Based on Independent Component Analysis and Logistic Regression
基于独立成分分析和逻辑回归的基因表达数据肿瘤分类研究