k nearest neighbor using ensemble clustering

Keyphrases

• K-nearest Neighbor (K-NN) 100%
• Ensemble Clustering 100%
• Equivalence Class 33%
• Nearest Neighbor Ensemble 33%
• Geometric Distance 22%
• Dimensionality Reduction 11%
• Single Object 11%
• Input Space 11%
• Common Traits 11%
• Feature-based 11%
• Class Representation 11%
• Statistical Regularities 11%
• Distance Measure 11%
• Metric Basis 11%
• Feature Selection 11%
• Clustering Algorithm 11%
• Color Image Segmentation 11%
• Number of Equivalence Classes 11%
• Optimal Clustering 11%
• Clustering Results 11%
• Data Reduction Methods 11%
• Smart Data 11%
• Optimal Parameter Value 11%
• Data Reduction Techniques 11%
• Distance between Points 11%
• Real Color Images 11%
• Inter-class Distance 11%

Computer Science

• Equivalence Class 100%
• k-Nearest Neighbors Algorithm 50%
• Geometric Distance 50%
• Data Reduction 50%
• Data Processing 50%
• Image Segmentation 25%
• Dimensionality Reduction 25%
• Feature Selection 25%
• Parameter Value 25%
• Clustering Algorithm 25%
• Clustering Result 25%
• Statistical Regularity 25%
• Feature Extraction 25%

Mathematics

• Nearest Neighbor 100%
• Equivalence Class 44%
• Data Reduction 22%
• Color Image 22%
• Clustering 11%
• Wide Range 11%
• Dimensionality Reduction 11%
• Distance between Point 11%
• Clustering Algorithm 11%
• Reduction Method 11%
• Principal Component Analysis 11%