Diversity-driven generation of link-based cluster ensemble and application to data classification

Computer Science

• Classification (Machine Learning) 100%
• Accuracy 100%
• Clustering 100%
• Transformations 100%
• Generation 100%
• Links 100%
• Information Matrix 50%
• Classification Models 50%
• Ensemble Approach 50%
• Benchmark 50%
• Classification Accuracy 50%
• Standards 50%
• Diagnosis 50%
• Random Forest Classifier 50%
• Transformed Data 50%
• Application 50%
• Transformation Model 50%
• Simulation Mode 50%
• Data Classification 50%
• Feature Selection 50%
• Classification 50%

Neuroscience

• Gene Expression 50%
• Microarray 50%