Publications related to DBSCAN

Spherical Clustering of Users Navigating 360° Content

Pascal Frossard, Francesca De Simone, Laura Toni

In Virtual Reality (VR) applications, understanding how users explore the omnidirectional content is important to optimize content creation, to develop user-centric services, or even to detect disorders in medical applications. Clustering users based on th ...

IEEE2019

Overlapping spatial clusters of sugar-sweetened beverage intake and body mass index in Geneva state, Switzerland

Stéphane Joost, Idris Guessous, David Nicolas De Ridder, Beatrice Bacchilega

Background: Obesity and obesity-related diseases represent a major public health concern. Recently, studies have substantiated the role of sugar-sweetened beverages (SSBs) consumption in the development of these diseases.The fine identification of populati ...

Springer2019

Fast Approximate Spectral Clustering for Dynamic Networks

Pierre Vandergheynst, Lionel Jérémie Martin, Andreas Loukas

Spectral clustering is a widely studied problem, yet its complexity is prohibitive for dynamic graphs of even modest size. We claim that it is possible to get information from past cluster assignments to expedite computation. Our approach builds on a recen ...

2018

Application of Machine Learning and Mathematical Programming in the Optimization of the Energy Management System for Hybrid-Electric Vessels Having Cyclic Operations

Francesco Baldi, Navid Mohammadzadeh

Shipping contributes today to 2.1% of global anthropogenic greenhouse gas emissions and its share is expected to grow in the coming years. At the same time, fuel prices are increasing and companies of the related increase in operational costs. This demands ...

2018

Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter!

Rachid Guerraoui, Anne-Marie Kermarrec, Davide Frey, Antoine Rault, Florestan Laurentin Marie De Moor

Recommendation systems help users identify interesting content, but they also open new privacy threats. In this paper, we deeply analyze the effect of a Sybil attack that tries to infer information on users from a user-based collaborative-filtering recomme ...

IEEE2018

Denoising radio interferometric images by subspace clustering

Paul Hurley, Matthieu Martin Jean-André Simeoni, Nezihe Merve Gürel

Radio interferometry usually compensates for high levels of noise in sensor/antenna electronics by throwing data and energy at the problem: observe longer, then store and process it all. Furthermore, only the end image is cleaned, reducing flexibility subs ...

2017

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

Pose and Pathosformel in Aby Warburg’s Bilderatlas

Sabine Süsstrunk, Leonardo Laurence Impett

look at Aby Warburg’s concept of Pathosformel, the repeatable formula for the expression of emotion, through the depiction of human pose in art. Using crowdsourcing, we annotate 2D human pose in one-third of the panels of Warburg’s atlas of art, and perfor ...

2016

On characterizing protein spatial clusters with correlation approaches

Aleksandra Radenovic, Jayakrishnan Unnikrishnan, Arun Shivanandan

Spatial aggregation of proteins might have functional importance, e.g., in signaling, and nano-imaging can be used to study them. Such studies require accurate characterization of clusters based on noisy data. A set of spatial correlation approaches free o ...

Nature Publishing Group2016

ASTErIsM: application of topometric clustering algorithms in automatic galaxy detection and classification

Jean-Paul Richard Kneib, Frédéric Courbin, Danuta Janina Paraficz

We present a study on galaxy detection and shape classification using topometric clustering algorithms. We first use the DBSCAN algorithm to extract, from CCD frames, groups of adjacent pixels with significant fluxes and we then apply the DENCLUE algorithm ...

Oxford Univ Press2016

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Spherical Clustering of Users Navigating 360° Content

Overlapping spatial clusters of sugar-sweetened beverage intake and body mass index in Geneva state, Switzerland

Fast Approximate Spectral Clustering for Dynamic Networks

Application of Machine Learning and Mathematical Programming in the Optimization of the Energy Management System for Hybrid-Electric Vessels Having Cyclic Operations

Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter!

Denoising radio interferometric images by subspace clustering

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pose and Pathosformel in Aby Warburg’s Bilderatlas

On characterizing protein spatial clusters with correlation approaches

ASTErIsM: application of topometric clustering algorithms in automatic galaxy detection and classification

Spherical Clustering of Users Navigating 360° Content

ASTErIsM: application of topometric clustering algorithms in automatic galaxy detection and classification

Fast Approximate Spectral Clustering for Dynamic Networks

Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter!

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Application of Machine Learning and Mathematical Programming in the Optimization of the Energy Management System for Hybrid-Electric Vessels Having Cyclic Operations

On characterizing protein spatial clusters with correlation approaches

Pose and Pathosformel in Aby Warburg’s Bilderatlas

Denoising radio interferometric images by subspace clustering

Overlapping spatial clusters of sugar-sweetened beverage intake and body mass index in Geneva state, Switzerland