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BMCBI
2011
12 years 8 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
JPDC
2007
138views more  JPDC 2007»
13 years 4 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
ICPR
2000
IEEE
14 years 6 months ago
Winner-Update Algorithm for Nearest Neighbor Search
This paper presents an algorithm, called the winnerupdate algorithm, for accelerating the nearest neighbor search. By constructing a hierarchical structure ,for each feature point...
Yong-Sheng Chen, Yi-Ping Hung, Chiou-Shann Fuh
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 5 months ago
Lower Bounds on Near Neighbor Search via Metric Expansion
In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we loo...
Rina Panigrahy, Kunal Talwar, Udi Wieder
DATESO
2010
153views Database» more  DATESO 2010»
13 years 2 months ago
Answering Metric Skyline Queries by PM-tree
Abstract. The task of similarity search in multimedia databases is usually accomplished by range or k nearest neighbor queries. However, the expressing power of these "single-...
Tomás Skopal, Jakub Lokoc