k-POD: A Method for k-Means Clustering of Missing Data

Mathematics

• K-means Clustering 100%
• Proper Orthogonal Decomposition 89%
• Missing Data 69%
• Clustering 31%
• K-means Algorithm 25%
• Imputation 19%
• Deletion 17%
• Costs 12%
• Unknown 10%
• Formulation 10%

Business & Economics

• K-means Clustering 90%
• Missing Data 86%
• Clustering 30%
• Imputation 21%
• K-means 21%
• Matrix 14%
• Costs 6%