Publications associées à Correlation clustering

Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers

Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud

Clustering algorithms have evolved to handle more and more complex structures. However, measures allowing to qualify the quality of such partitions are rare and only specic to certain algorithms. In this work, we propose a new cluster validity measure (CVM ...

Elsevier2015

Non-linear Low-rank and Sparse Representation for Hyperspectral Image Analysis

Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud

In this paper, we tackle the problem of unsupervised classification of hyperspectral images. We propose a clustering method based on graphs representing the data structure, which is assumed to be an union of multiple manifolds. The method constraints the p ...

2014

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Relationships between entities in datasets are often of multiple nature, like geographical distance, social relationships, or common interests among people in a social network, for example. This information can naturally be modeled by a set of weighted and ...

Institute of Electrical and Electronics Engineers2014

Broadcasting oneself: Visual Discovery of Vlogging Styles

Daniel Gatica-Perez, Oya Aran, Joan Isaac Biel Tres

We present a data-driven approach to discover different styles that people use to present themselves in online video blogging (vlogging). By vlogging style, we denote the combination of conscious and unconscious choices that the vlogger made during the pro ...

2014

Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud

After a major flood catastrophe, a precious information is the delineation of the affected areas. Remote sensing imagery, especially synthetic aperture radar, allows to obtain a global and complete view of the situation. However, the detection of the flood ...

2013

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Relationships between entities in datasets are often of multiple types, which can naturally be modeled by a multi-layer graph; a common vertex set represents the entities and the edges on different layers capture different types of relationships between th ...

2013

Computing the size and number of neuronal clusters in local circuits

Henry Markram, Rodrigo de Campos Perin, Martin Telefont

The organization of connectivity in neuronal networks is fundamental to understanding the activity and function of neural networks and information processing in the brain. Recent studies show that the neocortex is not only organized in columns and layers b ...

Frontiers Research Foundation2013

Chromatin architectures and hox gene collinearity

Denis Duboule, Daniël Noordermeer

Ever since the observation that collinearity, that is, the sequential activity of Hox genes based on their relative positions within their gene clusters, is conserved throughout most of the animal kingdom, the question has been raised as to what are the un ...

Elsevier Academic Press Inc2013

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Correlation clustering

Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers

Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity

Non-linear Low-rank and Sparse Representation for Hyperspectral Image Analysis

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Broadcasting oneself: Visual Discovery of Vlogging Styles

A clustering-based method to estimate saliency in 3D animated meshes

Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Computing the size and number of neuronal clusters in local circuits

Chromatin architectures and hox gene collinearity

Graph Chatbot

Chattez avec Graph Search

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Non-linear Low-rank and Sparse Representation for Hyperspectral Image Analysis

Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity

Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers

Broadcasting oneself: Visual Discovery of Vlogging Styles

A clustering-based method to estimate saliency in 3D animated meshes

Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior

Computing the size and number of neuronal clusters in local circuits

Chromatin architectures and hox gene collinearity

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds