Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering

Image Clustering Using Local Discriminant Models and Global Integration

(2010) Yi Yang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Simplifying Mixture Models Through Function Approximation

(2010) Kai Zhang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Graph Based Representations of Density Distribution and Distances for Self-Organizing Maps

(2010) K. Tasdemir   IEEE TRANSACTIONS ON NEURAL NETWORKS

Incorporating the Loss Function Into Discriminative Clustering of Structured Outputs

(2010) Wenliang Zhong et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Maximum Margin Clustering Made Practical

(2009) Kai Zhang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Learning Gaussian Mixture Models With Entropy-Based Criteria

(2009) A. Penalver Benavent et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps

(2009) K. Tasdemir et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Trace Ratio Problem Revisited

(2009) Yangqing Jia et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Harmonizing Hierarchical Manifolds for Multimedia Document Semantics Understanding and Cross-Media Retrieval

(2008) Yi Yang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA

(2008) C. Alzate et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A survey of kernel and spectral methods for clustering

(2007) Maurizio Filippone et al.   PATTERN RECOGNITION