Invention Grant
- Patent Title: Nearest neighbor clustering determination and estimation algorithm that hashes centroids into buckets and redistributes vectors between clusters
- Patent Title (中): 最近邻居聚类确定和估计算法将质心散列到桶中并在聚类之间重新分布向量
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Application No.: US14163751Application Date: 2014-01-24
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Publication No.: US09552408B2Publication Date: 2017-01-24
- Inventor: Grzegorz Malewicz
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Perkins Coie LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06F17/30

Abstract:
Embodiments are described for determining and/or estimating a nearest neighbor to a data vector in a dataset are presented. Some embodiments redistribute data vectors between clusters based upon the character of the clusters to more evenly balance the computational load. Some embodiments employ Locality Sensitive Hashing (LSH) functions as part of the clustering and remove redundant data vectors from the data set to mitigate unbalanced computation. The disclosed embodiments may facilitate the analysis of very large and/or very high dimensional datasets with reasonable runtimes.
Public/Granted literature
- US20150213375A1 NEIGHBOR DETERMINATION AND ESTIMATION Public/Granted day:2015-07-30
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