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CLEIEJ
2008
72views more  CLEIEJ 2008»
15 years 4 months ago
Measuring Contribution of HTML Features in Web Document Clustering
Documents in HTML format have many features to analyze, from the terms in special sections to the phrases that appear in the whole document. However, it is important to decide whi...
Esteban Meneses, Oldemar Rodríguez-Rojas
COLING
2008
15 years 5 months ago
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
Roi Reichart, Ari Rappoport
BMCBI
2004
208views more  BMCBI 2004»
15 years 4 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
PCM
2007
Springer
134views Multimedia» more  PCM 2007»
15 years 10 months ago
The Photo News Flusher: A Photo-News Clustering Browser
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news databa...
Tatsuya Iyota, Keiji Yanai
CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 4 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...