Approximate spectral clustering with utilized similarity information using geodesic based hybrid distance measures

Keyphrases

• Approximate Spectral Clustering 100%
• Artificial Data 20%
• Cluster Type 20%
• Cluster Validity Index 20%
• Clustering Accuracy 20%
• Computational Burden 20%
• Data Distribution 20%
• Data Topology 20%
• Distance Information 20%
• Distance Measure 100%
• Eigendecomposition 20%
• Geodesic Distance 20%
• Geodesics 100%
• High Computational Cost 20%
• Hybrid Distance 100%
• Hybrid Similarity 40%
• In Clustering 20%
• Information Type 40%
• K-means++ 20%
• Medium Size 20%
• Neural Gas 20%
• Pairwise Similarity 20%
• Parametric Model 20%
• Point Data 20%
• Popular 20%
• Reduced Set 20%
• Remote Sensing Image 20%
• Selective Sampling 20%
• Similarity Criterion 60%
• Similarity Definition 40%
• Similarity Information 100%
• Similarity Representation 20%
• Small Media 20%
• Spectral Clustering 60%
• Topological Relations 20%
• Two-step Approach 20%
• Voronoi Polyhedron 20%

Computer Science

• Cluster Validity 16%
• Clustering Method 16%
• Computational Cost 16%
• Data Distribution 16%
• Distance Measure 100%
• Geodesic Distance 16%
• Geodesics 100%
• Information Type 16%
• Large Data Set 33%
• Pairwise Similarity 16%
• Parametric Model 16%
• Remote Sensing Image 16%
• Spectral Clustering 100%