Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Spectral clustering: A semi-supervised approach
Learning Spectral Clustering
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
SpectralNet: Spectral Clustering using Deep Neural Networks
Spectral Ensemble Clustering
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning
Supervised clustering with support vector machines
Semi-supervised Learning
Semi-supervised distance metric learning based on local linear regression for data clustering
A unified view of kernel k-means, spectral clustering and graph cuts
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence
Semi-supervised Feature Selection via Spectral Analysis
Revisiting Semi-Supervised Learning with Graph Embeddings
Spectral Relaxation for K means Clustering
Generalized Label Propagation Methods for Semi-Supervised Learning.
semi - supervised clustering by seeding .
Linear Spectral Clustering Superpixel
Semi-Supervised Fuzzy Clustering with Pairwise-Constrained Competitive Agglomeration
Large-scale multi-view spectral clustering via bipartite graph
Incremental spectral clustering with application to monitoring of evolving blog communities
Modeling the Loss Distribution
On Spectral Clustering: Analysis and an algorithm
Sustainable pest management for cotton production. A review
Evaluation of Stiffness and Strength of Scots Pine Wood Using Resonance Frequency and Ultrasonic Techniques
Bacterial census of poultry intestinal microbiome