2 papers
cs.LG2025
Improving Clustering on Occupational Text Data through Dimensionality Reduction
Iago Xabier Vázquez GarcÃa, 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 Ãzçoban, Murat ManguoÄlu, 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-…