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Learning Cluster Type and Dissimilarity Metric for Each Cluster Using a Set of Possible Cluster Types

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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

Learning Cluster Type and Dissimilarity Metric for Each Cluster Using a Set of Possible Cluster Types

Graph Chatbot

Chattez avec Graph Search

Peer Sharing Behaviour in the eDonkey Network, and Implications for the Design of Server-less File Sharing Systems

Kernelized Infomax Clustering

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

Analysis of a Synonymy Network

Noisy Text Clustering

Making Retrieval Faster Through Document Clustering

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering

Finding Structure in Home Videos by Probabilistic Hierarchical Clustering

A Robust Speaker Clustering Algorithm

Finding Structure in Home Videos by Probabilistic Hierarchical Clustering

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

Kernelized Infomax Clustering

A Robust Speaker Clustering Algorithm

Making Retrieval Faster Through Document Clustering

Peer Sharing Behaviour in the eDonkey Network, and Implications for the Design of Server-less File Sharing Systems

Analysis of a Synonymy Network

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

Noisy Text Clustering

Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data (PDD) Clustering