Publications related to Biclustering

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

The aim of the domain-adaptation task for speaker verification is to exploit unlabelled target domain data by using the labelled source domain data effectively. The i-vector based Probabilistic Linear Dis- criminant Analysis (PLDA) framework approaches thi ...

Idiap2016

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm. Indeed, classical spectral clustering is based on the computation of the first

k

eigenvectors of the similarity matrix' Laplacian, whose computati ...

Ieee2016

Temporally Coherent Clustering of Student Data

The extraction of student behavior is an important task in educational data mining. A common approach to detect similar behavior patterns is to cluster sequential data. Standard approaches identify clusters at each time step separately and typically show l ...

EDM2016

PCA using graph total variation

Pierre Vandergheynst, Nathanaël Perraudin, Benjamin Ricaud, Nauman Shahid, Vasilis Kalofolias

Mining useful clusters from high dimensional data has received sig- nificant attention of the signal processing and machine learning com- munity in the recent years. Linear and non-linear dimensionality reduction has played an important role to overcome th ...

Ieee2016

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

Nikolaos Geroliminis, Mohammadreza Saeedmanesh

Aggregated network level modeling and control of traffic in urban networks have recently gained a lot of interest due to unpredictability of travel behaviors and high complexity of physical modeling in microscopic level. Recent research has shown the exist ...

Elsevier2016

A Bi-Criteria Approximation Algorithm for k-Means

Justin Dean Ward

We consider the classical k-means clustering problem in the setting of bi-criteria approximation, in which an algorithm is allowed to output beta*k > k clusters, and must produce a clustering with cost at most alpha times the to the cost of the optimal set ...

Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik2016

A framework for characterizing RAP clustering in asphalt concrete mixtures

André-Gilles Dumont, Michel Pittet, Sara Bressi, Manfred Partl

Recycled Asphalt Pavement (RAP) is commonly used in asphalt for road rehabilitation or new constructions. Nevertheless, some physical and chemical phenomena that occur during production, laying and compaction of mixtures containing RAP are not yet complete ...

Elsevier Sci Ltd2016

Decentralized clustering over adaptive networks

Ali H. Sayed, Ali Zoubir

Cooperation among agents across the network leads to better estimation accuracy. However, in many network applications the agents infer and track different models of interest in an environment where agents do not know beforehand which models are being obse ...

IEEE2015

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

A Novel Technique for Online Partial Discharge Pattern Recognition in Large Electrical Motors

Maher Kayal

In this paper, a fully automated system for source detection of the partial discharges (PD) as an online diagnosis test in rotating machineries is proposed. This technique uses a modified version of the Expectation Maximization-based (EM) clustering techni ...

Ieee2014

Biclustering

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INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Temporally Coherent Clustering of Student Data

PCA using graph total variation

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

A Bi-Criteria Approximation Algorithm for k-Means

A framework for characterizing RAP clustering in asphalt concrete mixtures

Decentralized clustering over adaptive networks

Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers

A Novel Technique for Online Partial Discharge Pattern Recognition in Large Electrical Motors

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

PCA using graph total variation

Decentralized clustering over adaptive networks

Temporally Coherent Clustering of Student Data

INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION

A Novel Technique for Online Partial Discharge Pattern Recognition in Large Electrical Motors

A framework for characterizing RAP clustering in asphalt concrete mixtures

A Bi-Criteria Approximation Algorithm for k-Means

Cluster Validity Measure and Merging System for Hierarchical Clustering considering Outliers