Ecole d'ingénieur et centre de recherche en Sciences du numérique

Fast distributed k-nn graph update

Debatty, Thibault; Pulvirenti, Fabio; Michiardi, Pietro; Mees, Wim

BIGDATA 2016, 2016 IEEE International Conference on Big Data, December 5-8, 2016, Washington, USA

In this paper, we present an approximate algorithm that is able to quickly modify a large distributed fc-nn graph by adding or removing nodes. The algorithm produces an approximate graph that is highly similar to the graph computed using a naïve approach, although it requires the computation of far fewer similarities. To achieve this goal, it relies on a novel, distributed graph based search procedure. All these algorithms are also experimentally evaluated, using both euclidean and non-euclidean datasets.

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Titre:Fast distributed k-nn graph update
Département:Data Science
Eurecom ref:5133
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Bibtex: @inproceedings{EURECOM+5133, doi = {}, year = {2016}, title = {{F}ast distributed k-nn graph update}, author = {{D}ebatty, {T}hibault and {P}ulvirenti, {F}abio and {M}ichiardi, {P}ietro and {M}ees, {W}im}, booktitle = {{BIGDATA} 2016, 2016 {IEEE} {I}nternational {C}onference on {B}ig {D}ata, {D}ecember 5-8, 2016, {W}ashington, {USA}}, address = {{W}ashington, {\'{E}}{TATS}-{UNIS}}, month = {12}, url = {} }
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