�ݺ�ߣshows by User: LaElbeze

�ݺ�ߣshows by User: LaElbeze / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: LaElbeze / Thu, 22 Jan 2015 11:22:31 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: LaElbeze Survey of different approaches for computing KNN on top of Map Reduce https://fr.slideshare.net/LaElbeze/survey-of-different-approaches-for-computing-knn-on-top-of-map-reduce knn-150122112231-conversion-gate01
Survey of different approaches for computing KNN on top of Map Reduce : There are two kinds algorithms : KNN : the real k nearest neighbors -> basic -> hbnlj : hadoop bloc nest loop -> voronoi : with indexation of cell of voronoi AKNN : the approximate nearest neighbors -> z-value : with space filling curve -> hlsh : hadoop locality sensitive hashing]]>
Survey of different approaches for computing KNN on top of Map Reduce : There are two kinds algorithms : KNN : the real k nearest neighbors -> basic -> hbnlj : hadoop bloc nest loop -> voronoi : with indexation of cell of voronoi AKNN : the approximate nearest neighbors -> z-value : with space filling curve -> hlsh : hadoop locality sensitive hashing]]> Thu, 22 Jan 2015 11:22:31 GMT https://fr.slideshare.net/LaElbeze/survey-of-different-approaches-for-computing-knn-on-top-of-map-reduce LaElbeze@slideshare.net(LaElbeze) Survey of different approaches for computing KNN on top of Map Reduce LaElbeze Survey of different approaches for computing KNN on top of Map Reduce : There are two kinds algorithms : KNN : the real k nearest neighbors -> basic -> hbnlj : hadoop bloc nest loop -> voronoi : with indexation of cell of voronoi AKNN : the approximate nearest neighbors -> z-value : with space filling curve -> hlsh : hadoop locality sensitive hashing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/knn-150122112231-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Survey of different approaches for computing KNN on top of Map Reduce : There are two kinds algorithms : KNN : the real k nearest neighbors -> basic -> hbnlj : hadoop bloc nest loop -> voronoi : with indexation of cell of voronoi AKNN : the approximate nearest neighbors -> z-value : with space filling curve -> hlsh : hadoop locality sensitive hashing

from L辿a El Beze

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0 https://cdn.slidesharecdn.com/profile-photo-LaElbeze-48x48.jpg?cb=1529395880 My name is Lea El Beze. I studied at the University of Nice Sophia Antipolis, France. I am very curious and hard-working. Therefore, I was interested by the new technologie big data and the challenge of the implementation of services in distributed and parallel system. I decided to follow a master specialized in Big Data. Thanks to my last job experience, I has an experience in search labo and big entreprise. Moreover, after the master, I choose to improve my English in Ireland and then in Boston. Now I am working at Amadeus on the technologies Big Data - Spark, Kafka, MapR, Drill, Elastic Search- www.lea-elbeze.alwaysdata.net/ http://www.lealee.fr