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automationMusic genre
multiple linear regressionProgramming language
centroidRugby player
multiple regressionProgramming language
cluster analysisAgent
International audienceA cluster analysis method on massive multiple linear regression models was proposed.Firstly, the concepts such as distance between two multiple regression models, the centroid and radius of multiple linear regression model set were defined by using the correlation coefficient matrix of augmented matrix.Then Squeezer cluster method was applied to realize the cluster analysis on multivariate linear regression models based on entire automation of the process.The simulation case confirms validity of this method and lead to satisfactory results
In cluster analysis it is generally assumed that one single cluster structure is contained in a data...
Abstract: In classical multiple linear regression analysis problems will occur if the regressors are...
The authors present a multicriterion clusterwise linear regression model that can be applied to a jo...
Clusterwise linear regression (CLR) is a well-known technique for approximating a data using more th...
Multiple linear regression (MLR) is a commonly used statistical technique to predict future values. ...
Cluster structure in (multicollinear) data can be utilized by pattern recognition methods in order t...
Cluster structure in (multicollinear) data can be uti-lized by pattern recognition methods in order ...
This paper introduces a new data analysis method for big data using a newly defined regression model...
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By o...
This paper presents a conditional mixture, maximum likelihood methodology for performing clusterwise...
This thesis seeks to describe the development of an inexpensive and efficient clustering technique f...
Abstract. In this paper, we propose a model-based hierarchical clustering algorithm that automatical...
In this paper, a procedure based on M-estimation to determine the number of regression models for th...
A clusterwise linear regression problem consists of finding a number of linear functions each approx...
Functional data can be clustered by plugging estimated regression coefficients from individual curve...
In cluster analysis it is generally assumed that one single cluster structure is contained in a data...
Abstract: In classical multiple linear regression analysis problems will occur if the regressors are...
The authors present a multicriterion clusterwise linear regression model that can be applied to a jo...
Clusterwise linear regression (CLR) is a well-known technique for approximating a data using more th...
Multiple linear regression (MLR) is a commonly used statistical technique to predict future values. ...
Cluster structure in (multicollinear) data can be utilized by pattern recognition methods in order t...
Cluster structure in (multicollinear) data can be uti-lized by pattern recognition methods in order ...
This paper introduces a new data analysis method for big data using a newly defined regression model...
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By o...
This paper presents a conditional mixture, maximum likelihood methodology for performing clusterwise...
This thesis seeks to describe the development of an inexpensive and efficient clustering technique f...
Abstract. In this paper, we propose a model-based hierarchical clustering algorithm that automatical...
In this paper, a procedure based on M-estimation to determine the number of regression models for th...
A clusterwise linear regression problem consists of finding a number of linear functions each approx...
Functional data can be clustered by plugging estimated regression coefficients from individual curve...
In cluster analysis it is generally assumed that one single cluster structure is contained in a data...
Abstract: In classical multiple linear regression analysis problems will occur if the regressors are...
The authors present a multicriterion clusterwise linear regression model that can be applied to a jo...
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