Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Mixture regression as subspace clustering
Subspace clustering
Downsampling for sparse subspace clustering
Maximum margin Dirichlet process mixtures for clustering
Learning Mixtures of Gaussians in High Dimensions
Entropy-based subspace clustering for mining numerical data
Clicks: An effective algorithm for mining subspace clusters in categorical datasets
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering
Extracting shared subspace for multi-label classification
A robust EM clustering algorithm for Gaussian mixture models
Deep Unsupervised Clustering Using Mixture of Autoencoders
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
Joint covariate selection and joint subspace selection for multiple classification problems
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data
Learning the Distribution Preserving Semantic Subspace for Clustering.
Global analysis of Expectation Maximization for mixtures of two Gaussians
Robust and Efficient Subspace Segmentation via Least Squares Regression
scalable deep k - subspace clustering .
Gaussian Mixture Models
Model Based Clustering for Mixed Data: clustMD
a mixture model for clustering ensembles .
On Spectral Clustering: Analysis and an algorithm
On social networks and collaborative recommendation
A CFL-ontology model for carbon footprint reasoning
High-Throughput Ring-LWE Cryptoprocessors
Computational Re-Photography