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Robust and Efficient Data Clustering with Signal Processing on Graphs

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Kernelized Infomax Clustering

We propose a simple information-theoretic clustering approach based on maximizing the mutual information

I(\sfx,y)

between the unknown cluster labels

y

and the training patterns

\sfx

with respect to parameters of specifically constrained encoding dis ...

IDIAP2005

Robust and Efficient Data Clustering with Signal Processing on Graphs

Graph Chatbot

Chat with Graph Search

Mining Co-Change Clusters from Version Repositories

Kernelized Infomax Clustering

Non-linear disassembly planning for increasing the end-of-life value of products

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C-JDBC: Flexible Database Clustering Middleware

Trajectories clustering in ICA space: an application to automatic counting of pedestrians in video sequences

C-JDBC: Flexible Database Clustering Middleware

Mining Co-Change Clusters from Version Repositories

Non-linear disassembly planning for increasing the end-of-life value of products

Kernelized Infomax Clustering

Analysis of a Synonymy Network

Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams

Making Retrieval Faster Through Document Clustering

Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

Noisy Text Clustering