Search Results for author:
Found 3 papers, 2 papers with code
S-RASTER: Contraction Clustering for Evolving Data Streams
RASTER exhibits very competitive performance compared to standard clustering algorithms, but at the cost of decreased precision.
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass
Clustering is an essential data mining tool for analyzing and grouping similar objects.
Functional Federated Learning in Erlang (ffl-erl)
Thus, Erlang may be a viable alternative to C for some practical machine learning tasks.
Programming Languages
Cannot find the paper you are looking for? You can
Submit a new open access paper.
