Min-sum clustering (with outliers)

Keyphrases

• Polynomial Time 100%
• Min-Sum 100%
• Clustering with Outliers 100%
• Metric Space 50%
• Absolute Constant 50%
• Real Space 50%
• Approximation Algorithms 50%
• Approximation Guarantee 50%
• Positive Integer 50%
• Optimal Cost 50%
• Number of Clusters 50%
• Bicriteria Approximation 50%
• Squared Euclidean Distance 50%

Mathematics

• Constant Factor 100%
• Polynomial Time 66%
• Clustering 66%
• Data Point 66%
• Input Data 66%
• Absolute Constant 33%
• Metric Space 33%
• Euclidean Distance 33%
• Real Space 33%
• Positive Integer 33%
• Bicriteria 33%