Parallel K-Tree: A multicore, multinode solution to extreme clustering
Parallel K-Tree: A multicore, multinode solution to extreme clustering is a scholarly work, published in 2019 in ''Future Generation Computer Systems''. The main subjects of the publication include feature engineering, data mining, multi-core processor, byte, parallel computing, hierarchical clustering, tree, supercomputer, cluster analysis, computer science, and USable. The work presents Parallel K-Tree, a hierarchical data structure and clustering algorithm that takes advantage of modern computing environments to cluster extremely large datasets.