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ICPR
2008
IEEE
15 years 3 months ago
Constrained clustering by a novel graph-based distance transformation
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Kai Rothaus, Xiaoyi Jiang
103
Voted
TSMC
2008
187views more  TSMC 2008»
14 years 9 months ago
A Position-Based Clustering Technique for Ad Hoc Intervehicle Communication
Abstract--Intervehicle communication is a key technique of intelligent transport systems. Recently, ad hoc networking in the vehicular environment was investigated intensively. Thi...
Zhigang Wang, Lichuan Liu, MengChu Zhou, N. Ansari
ECCV
2006
Springer
15 years 11 months ago
EMD-L1: An Efficient and Robust Algorithm for Comparing Histogram-Based Descriptors
We propose a fast algorithm, EMD-L1, for computing the Earth Mover's Distance (EMD) between a pair of histograms. Compared to the original formulation, EMD-L1 has a largely si...
Haibin Ling, Kazunori Okada
BMCBI
2004
181views more  BMCBI 2004»
14 years 9 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
14 years 8 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...