A semi-supervised regression model for mixed numerical and categorical variables

Keyphrases

• Supervised Regression Model 100%
• Numerical Variables 100%
• Categorical Variables 100%
• Semi-supervised Regression 100%
• Multivariate Regression Model 100%
• Regression Model 33%
• Clustering Algorithm 33%
• Unsupervised Learning Techniques 33%
• Weighted Sums 33%
• K-modes Clustering 33%
• Regression Algorithm 33%
• Minimizing a Function 33%
• K-modes 33%
• Categorical Attributes 33%
• Least Square Error 33%
• Dissimilarity Measure 33%
• Supervised Learning Method 33%
• Numerical Attributes 33%
• Mode Parameters 33%

Mathematics

• Regression Model 100%
• Categorical Variable 100%
• Multivariate Regression 60%
• Least Square 20%
• Real Data 20%
• Clustering Algorithm 20%
• Synthetic Data 20%
• Square Error 20%
• Weighted Sum 20%