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AI
2005
Springer
16 years 1 months ago
Comparing Dimension Reduction Techniques for Document Clustering
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
VLDB
2005
ACM
86views Database» more  VLDB 2005»
16 years 29 days ago
One-Pass Wavelet Synopses for Maximum-Error Metrics
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Panagiotis Karras, Nikos Mamoulis
ICALP
2004
Springer
16 years 26 days ago
Learning a Hidden Subgraph
We consider the problem of learning a labeled graph from a given family of graphs on n vertices in a model where the only allowed operation is to query whether a set of vertices i...
Noga Alon, Vera Asodi
CVPR
2003
IEEE
16 years 23 days ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
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GECCO
2003
Springer
16 years 21 days ago
Two Broad Classes of Functions for Which a No Free Lunch Result Does Not Hold
We identify classes of functions for which a No Free Lunch result does and does not hold, with particular emphasis on the relationship between No Free Lunch and problem description...
Matthew J. Streeter