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» Measuring Similarity between Sets of Overlapping Clusters
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JCP
2007
149views more  JCP 2007»
14 years 10 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar
WCRE
1999
IEEE
15 years 2 months ago
MoJo: A Distance Metric for Software Clusterings
The software clustering problem has attracted much attention recently, since it is an integral part of the process of reverse engineering large software systems. A key problem in ...
Vassilios Tzerpos, Richard C. Holt
BMCBI
2008
134views more  BMCBI 2008»
14 years 10 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
WABI
2007
Springer
15 years 4 months ago
A Graph Clustering Approach to Weak Motif Recognition
The aim of the motif recognition problem is to detect a set of mutually similar subsequences within a collection of biological sequences. The weak motif recognition problem on DNA ...
Christina Boucher, Daniel G. Brown, Paul Church
JMLR
2002
157views more  JMLR 2002»
14 years 9 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh