Sign Up to like & get
recommendations!
0
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939539
Abstract: Dimensionality reduction is a fundamental task in the field of data mining and machine learning. In many scenes, examples in high-dimensional space usually lie on low-dimensional manifolds; thus, learning the low-dimensional embedding is important. Some…
read more here.
Keywords:
neighbors based;
graph construction;
dimensionality reduction;
Sign Up to like & get
recommendations!
1
Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3081767
Abstract: In the diagnosis of epileptic seizures, classification is an important step that directly affects the results. Visual inspection of Electroencephalogram (EEG) is a relatively common analytic method of epilepsy, but it is costly, time-consuming and…
read more here.
Keywords:
diagnosis;
based classifier;
distance;
extended nearest ... See more keywords