Big Holes in Big Data: A Monte Carlo Algorithm for Detecting Large Hyper-rectangles in High Dimensional Data.
Joseph LemleyFilip JagodzinskiRazvan AndoniePublished in: CoRR (2017)
Keyphrases
- monte carlo
- big data
- high dimensional data
- subspace clustering
- monte carlo simulation
- dynamic programming
- matrix inversion
- markov chain
- low dimensional
- data analysis
- input data
- clustering method
- cloud computing
- search space
- data management
- data sets
- nearest neighbor
- high dimensional spaces
- importance sampling
- k means
- high dimensional
- optimal solution
- neural network
- high dimensional datasets
- decision making
- low rank
- pattern recognition
- detection algorithm
- social media
- data processing
- dimensionality reduction