National audienceNeighborhood graphs know increasing use in many fields as in Data Science, or Multi-dimensional data Indexing. This interest is the result of their ability to express similarity and closeness in both an intuitive and efficient manner, but also because of the emergence of graph databases and graph computation frameworks. In this short paper we propose a fast exact incremental procedure for the construction of Relative Neighborhood Graphs, and then inspired by previous work, we propose a faster heuristic methodLes graphes de proximité connaissent un usage conséquent ces dernières années comme alternatives aux méthodes traditionnelles de classification et d'indexation de données. Dans ce travail, nous proposons une méthode exa...
International audienceWe present an incremental algorithm for building a neighborhood graph from a s...
International audienceThis paper addresses the problem of the incremental con-struction of an indexi...
[[abstract]]AnO(n logn) divide-and-conquer algorithm for finding the relative neighborhood graph RNG...
International audienceWe present an incremental algorithm for building a neighborhood graph from a s...
Nous nous intéressons dans cette thèse à la résolution d'un problème de classification non supervisé...
We present an incremental algorithm for building a neighborhood graph from a set of documents. This ...
The incredible quantity of available content in online services makes content of interest incredibly...
In this paper, we propose a new data structure for ap-proximate nearest neighbor search. This struct...
International audienceIn this paper we present a new incremental algorithm for building neighborhood...
The k-NN graph has played a central role in increasingly popular data-driven techniques for various ...
Given a collection of n objects equipped with a distance function d(·, ·), the Nearest Neighbor Grap...
Graphs are widely employed in many application fields, such as biology, chemistry, social networks, ...
Given a collection of objects in a metric space, the Nearest Neighbor Graph (NNG) associate each nod...
Approximate nearest neighbor search is a fundamental problem and has been studied for a few decades....
The neighbourhood function NG(t) of a graph G gives, for each t, the number of pairs of nodes such ...
International audienceWe present an incremental algorithm for building a neighborhood graph from a s...
International audienceThis paper addresses the problem of the incremental con-struction of an indexi...
[[abstract]]AnO(n logn) divide-and-conquer algorithm for finding the relative neighborhood graph RNG...
International audienceWe present an incremental algorithm for building a neighborhood graph from a s...
Nous nous intéressons dans cette thèse à la résolution d'un problème de classification non supervisé...
We present an incremental algorithm for building a neighborhood graph from a set of documents. This ...
The incredible quantity of available content in online services makes content of interest incredibly...
In this paper, we propose a new data structure for ap-proximate nearest neighbor search. This struct...
International audienceIn this paper we present a new incremental algorithm for building neighborhood...
The k-NN graph has played a central role in increasingly popular data-driven techniques for various ...
Given a collection of n objects equipped with a distance function d(·, ·), the Nearest Neighbor Grap...
Graphs are widely employed in many application fields, such as biology, chemistry, social networks, ...
Given a collection of objects in a metric space, the Nearest Neighbor Graph (NNG) associate each nod...
Approximate nearest neighbor search is a fundamental problem and has been studied for a few decades....
The neighbourhood function NG(t) of a graph G gives, for each t, the number of pairs of nodes such ...
International audienceWe present an incremental algorithm for building a neighborhood graph from a s...
International audienceThis paper addresses the problem of the incremental con-struction of an indexi...
[[abstract]]AnO(n logn) divide-and-conquer algorithm for finding the relative neighborhood graph RNG...