2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 2 cited
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms
A. Acevedo, S. Ciucci, MJ. Kuo +2
Evaluating data separation in a geometrical space is fundamental for pattern recognition. A plethora of dimensionality reduction (DR) algorithms have been developed in order to rev…
cs.LG2019★ 2 cited
Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity
C. Duran, A. Acevedo, S. Ciucci +2
The development of algorithms for unsupervised pattern recognition by nonlinear clustering is a notable problem in data science. Markov clustering (MCL) is a renowned algorithm tha…