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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 2 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Clustering-Based Analysis of Semantic Concept Models for Video Shots
In this paper we present a clustering-based method for representing semantic concepts on multimodal low-level feature spaces and study the evaluation of the goodness of such model...
Markus Koskela, Alan F. Smeaton
MLDM
2005
Springer
15 years 7 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
ICCV
2007
IEEE
16 years 3 months ago
Mode-seeking by Medoidshifts
We present a nonparametric mode-seeking algorithm, called medoidshift, based on approximating the local gradient using a weighted estimate of medoids. Like meanshift, medoidshift ...
Yaser Sheikh, Erum A. Khan, Takeo Kanade
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 2 months ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...