Rethinking k-means clustering in the age of massive datasets: a constant-time approach

Mathematics

• Time Approach 100%
• Constant Time 100%
• Wide Range 50%
• Smaller Sample 50%
• Centroid 50%
• Clustering Algorithm 50%
• Central Limit Theorem 50%

Computer Science

• k-means Clustering 100%
• Massive Datasets 100%
• Scaled Version 66%
• clustering approach 33%
• Mean Clustering Algorithm 33%
• Uniform Sampling 33%
• Basis Algorithm 33%

Keyphrases

• Massive Data 100%
• Constant Time 100%
• K-means 100%
• Lite 40%
• Clustering Approach 10%
• Central Limit Theorem 10%
• Uniform Sampling 10%
• Clustering Algorithm 10%
• Original Algorithm 10%