Delving Deep into Least Square Regression Model for Subspace Clustering.
Masataka YamaguchiGo IrieTakahito KawanishiKunio KashinoPublished in: BMVC (2019)
Keyphrases
- regression model
- subspace clustering
- least squares
- high dimensional data
- subspace clusters
- clustering method
- clustering high dimensional data
- model selection
- high dimensional
- regression analysis
- multivariate regression
- clustering algorithm
- linear regression
- regression methods
- prediction model
- generalized linear models
- data sets
- explanatory variables
- linear regression model
- regression method
- high dimensionality
- gaussian process
- subspace projections
- multiple linear regression
- neural network
- data points
- complex data
- low dimensional
- nearest neighbor
- feature vectors
- subgraph mining
- image processing
- computer vision
- learning algorithm
- interval valued data