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Cauchy robust principal component analysis with applications to high-dimensional data sets.
Aisha Fayomi
Yannis Pantazis
Michail Tsagris
Andrew T. A. Wood
Published in:
Stat. Comput. (2024)
Keyphrases
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high dimensional data sets
robust principal component analysis
low rank
high dimensional data
multi dimensional
high dimensional
nearest neighbor search
data points
hyperplane
dimensional data
random projections
data sets
foreground detection
rank minimization
dimension reduction
dimensionality reduction
small sample size
maximum likelihood
nearest neighbor
high dimensionality
missing data
convex optimization
sparse representation
training data
low rank and sparse
gene expression
linear discriminant analysis
image retrieval
pattern recognition
image processing
data mining