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» Average-Case Analysis of a Nearest Neighbor Algorithm
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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
SIAMSC
2008
168views more  SIAMSC 2008»
13 years 7 months ago
Accurate Floating-Point Summation Part II: Sign, K-Fold Faithful and Rounding to Nearest
In this Part II of this paper we first refine the analysis of error-free vector transformations presented in Part I. Based on that we present an algorithm for calculating the round...
Siegfried M. Rump, Takeshi Ogita, Shin'ichi Oishi
PODS
1989
ACM
155views Database» more  PODS 1989»
13 years 11 months ago
Fractals for Secondary Key Retrieval
In this paper we propose the use of fractals and especially the Hilbert curve, in order to design good distance-preserving mappings. Such mappings improve the performance of secon...
Christos Faloutsos, Shari Roseman
ICASSP
2011
IEEE
12 years 11 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
ICDE
2009
IEEE
180views Database» more  ICDE 2009»
14 years 9 months ago
Reverse Furthest Neighbors in Spatial Databases
Given a set of points P and a query point q, the reverse furthest neighbor (RFN) query fetches the set of points p P such that q is their furthest neighbor among all points in P {...
Bin Yao, Feifei Li, Piyush Kumar