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» Comparing segmentations by applying randomization techniques
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BMCBI
2007
89views more  BMCBI 2007»
13 years 5 months ago
Comparing segmentations by applying randomization techniques
Background: There exist many segmentation techniques for genomic sequences, and the segmentations can also be based on many different biological features. We show how to evaluate ...
Niina Haiminen, Heikki Mannila, Evimaria Terzi
ICPR
2002
IEEE
13 years 9 months ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
AI
2005
Springer
13 years 10 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,...
CLIN
2001
13 years 6 months ago
Applying Monte Carlo Techniques to Language Identification
Two major stages stages in language identification systems can be identified: the language modeling stage, where the distinctive features of languages are determined and stored in...
Arjen Poutsma
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
14 years 5 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini