A sample-based hierarchical adaptive K-means clustering method for large-scale video retrieval
The multilevel random sampling strategy is employed to handle large datasets. The adaptive K-means algorithm is utilized to improve the quality of clusters. The fast label scheme is used to assign data to the closest cluster efficiently.
k-means algorithm data clustering pattern recognition content-based video copy detection large-scale data