A generalized maximum entropy approach to Bregman Co-clustering and matrix approximation

Mathematics

• Generalized Entropy 99%
• Clustering 70%
• Clustering Algorithm 19%
• Approximation Error 15%
• Microarray Analysis 12%
• Generalized Additive Models 10%
• K-means 10%
• Natural Language 9%
• Missing Values 8%
• Euclidean Distance 8%
• Loss Function 7%
• Compression 7%
• Flexibility 7%
• Parameter Space 6%
• Data analysis 6%
• Least Squares 6%
• Divergence 6%
• Prediction 5%
• Statistics 5%
• Framework 4%
• Standards 4%
• Approximation 3%
• Class 2%
• Text Clustering 1%

Engineering & Materials Science

• Clustering algorithms 67%
• Entropy 62%
• Speech analysis 43%
• Microarrays 42%
• Genes 35%
• Image analysis 35%