A SON solution for sleeping cell detection using low-dimensional embedding of MDT measurements.
Ahmed ZohaArsalan SaeedAli ImranMuhammad Ali ImranAdnan A. Abu-DayyaPublished in: PIMRC (2014)
Keyphrases
- low dimensional
- graph embedding
- vector space
- high dimensional
- nonlinear dimensionality reduction
- manifold learning
- multidimensional scaling
- closed form
- input space
- linear equations
- nonlinear manifold learning
- mathematical model
- neural network
- high dimensional data
- semi supervised
- evolutionary algorithm
- embedding space
- laplacian eigenmaps
- low dimensional spaces