Locality Sensitive K-means Clustering

Keyphrases

• K-means 100%
• Locality-sensitive 100%
• Optimization Problem 40%
• Dimensionality Reduction 20%
• New Space 20%
• Eigenvector 20%
• Generalized Eigenvalue Problem 20%
• Synthetic Data 20%
• Low-dimensional Space 20%
• Linear Transformation 20%
• Constrained Problems 20%
• Minimization with Constraints 20%
• Project Data 20%
• Linearly Separable Data 20%
• Unsupervised Clustering Algorithm 20%
• Linearly Non-separable 20%
• Matrix Trace 20%
• Trace Minimization 20%
• Indicator Vector 20%
• Continuous Solution 20%
• Cluster Membership 20%

Computer Science

• Unsupervised Clustering 50%