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COLT
2010
Springer
15 years 4 months ago
Characterization of Linkage-based Clustering
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
Margareta Ackerman, Shai Ben-David, David Loker
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
15 years 11 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus
ICCV
2005
IEEE
16 years 8 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
16 years 11 days ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
167
Voted
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang