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SODA
2000
ACM
127views Algorithms» more  SODA 2000»
15 years 1 months ago
Dimensionality reduction techniques for proximity problems
In this paper we give approximation algorithms for several proximity problems in high dimensional spaces. In particular, we give the rst Las Vegas data structure for (1 + )-neares...
Piotr Indyk
PAMI
2011
14 years 7 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
JCB
2007
92views more  JCB 2007»
15 years 8 days ago
Neighbor Joining Algorithms for Inferring Phylogenies via LCA Distances
Reconstructing phylogenetic trees efficiently and accurately from distance estimates is an ongoing challenge in computational biology from both practical and theoretical consider...
Ilan Gronau, Shlomo Moran
VLDB
2007
ACM
191views Database» more  VLDB 2007»
16 years 18 days ago
Multidimensional reverse k NN search
Given a multidimensional point q, a reverse k nearest neighbor (RkNN) query retrieves all the data points that have q as one of their k nearest neighbors. Existing methods for proc...
Yufei Tao, Dimitris Papadias, Xiang Lian, Xiaokui ...
COMPGEOM
2005
ACM
15 years 2 months ago
Fast construction of nets in low dimensional metrics, and their applications
We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
Sariel Har-Peled, Manor Mendel