Fast exact pairwise-nearest-neighbor algorithm using groups and clusters rejection criteria

Keyphrases

• Rejection Criterion 100%
• K-nearest Neighbor (K-NN) 100%
• Clustering Results 50%
• Nearest Neighbor 50%
• Data Clustering 25%
• Computing Time 25%
• Distance Calculation 25%
• Neighbor Finding 25%
• Differential Vector 25%

Computer Science

• Clustering Result 100%
• Clustered Data 50%
• Distance Calculation 50%