Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data.
Burkhard HoppenstedtManfred ReichertKlaus KammererThomas ProbstWinfried SchleeMyra SpiliopoulouRüdiger PryssPublished in: Sensors (2019)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- subspace clustering
- mixed reality
- data sets
- data analysis
- data points
- condition monitoring
- high dimensionality
- complex data
- training data
- pattern recognition
- high dimensional spaces
- subspace clusters
- lower dimensional
- linear discriminant analysis
- ambient intelligence
- low dimensional
- clustering algorithm
- artificial intelligence
- neural network