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FLAIRS
2000
15 years 13 days ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
ECAI
2004
Springer
15 years 4 months ago
An Intrinsic Information Content Metric for Semantic Similarity in WordNet
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
Nuno Seco, Tony Veale, Jer Hayes
IBPRIA
2009
Springer
15 years 3 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
ICPR
2008
IEEE
15 years 5 months ago
Online adaptive clustering in a decision tree framework
We present an online adaptive clustering algorithm in a decision tree framework which has an adaptive tree and a code formation layer. The code formation layer stores the represen...
Jayanta Basak
JDA
2006
98views more  JDA 2006»
14 years 11 months ago
Completely connected clustered graphs
Abstract. Planar drawings of clustered graphs are considered. We introduce the notion of completely connected clustered graphs, i.e. hierarchically clustered graphs that have the p...
Sabine Cornelsen, Dorothea Wagner