Manifold learning methods for the diagnosis of ovarian cancer.

Bartu Yesilkaya Matjaz Perc Yalçin Isler

Published in: J. Comput. Sci. (2022)

Keyphrases

manifold learning
ovarian cancer
cancer diagnosis
nonlinear dimensionality reduction
high dimensional data
machine learning methods
dimension reduction
data sets
preprocessing
support vector machine
dimensionality reduction
low dimensional
early detection
manifold structure
biologically meaningful