3 papers
cs.LG2025
Improving Clustering on Occupational Text Data through Dimensionality Reduction
Iago Xabier Vázquez García, Damla Partanaz, Emrullah Fatih Yetkin
In this study, we focused on proposing an optimal clustering mechanism for the occupations defined in the well-known US-based occupational database, O*NET. Even though all occupati…
cs.LG2025
A Novel Approach for Intrinsic Dimension Estimation
Kadir Özçoban, Murat Manguoğlu, Emrullah Fatih Yetkin
The real-life data have a complex and non-linear structure due to their nature. These non-linearities and the large number of features can usually cause problems such as the empty-…
math.NA2016
Analyzing the effect of local rounding error propagation on the maximal attainable accuracy of the pipelined Conjugate Gradient method
Siegfried Cools, Emrullah Fatih Yetkin, Emmanuel Agullo +2
Pipelined Krylov subspace methods typically offer improved strong scaling on parallel HPC hardware compared to standard Krylov subspace methods for large and sparse linear systems.…