Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: A unified view of kernel k-means, spectral clustering and graph cuts
Kernel k-means: spectral clustering and normalized cuts
Semi-supervised graph clustering: a kernel approach
Fast k-Means Based on k-NN Graph
Learning Spectral Clustering
Spectral Relaxation for K means Clustering
A Tutorial on Spectral Clustering
On Spectral Clustering: Analysis and an algorithm
Fast Compressive Spectral Clustering
Spectral K-way ratio-cut partitioning and clustering
Ckmeans.1d.dp: Optimal k-means Clustering in One Dimension by Dynamic Programming
Spectral Clustering with Two Views
Spectral clustering based on the graph p-Laplacian
An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation
The Constrained Laplacian Rank algorithm for graph-based clustering
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D
Fast approximate spectral clustering
A Co-training Approach for Multi-view Spectral Clustering
Clustering and the continuous k-means algorithm
Affinity aggregation for spectral clustering
Large-scale multi-view spectral clustering via bipartite graph
Persistent Genital Arousal Disorder Caused by Spinal Meningeal Cysts in the Sacrum: Successful Neurosurgical Treatment.
Teaching Machines to Describe Images via Natural Language Feedback
On Spectral Clustering: Analysis and an algorithm
Personality and well-being: Reexamining methods and meanings.
vizdoom : drqn with prioritized experience replay , double - q learning and snapshot ensembling .