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» A new clustering algorithm for coordinate-free data
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ICCV
2007
IEEE
14 years 10 months ago
Noise Robust Spectral Clustering
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou T...
BMCBI
2011
13 years 3 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
IDA
2005
Springer
14 years 1 months ago
Biological Cluster Validity Indices Based on the Gene Ontology
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
Nora Speer, Christian Spieth, Andreas Zell
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 5 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
14 years 2 months ago
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
Elke Achtert, Hans-Peter Kriegel, Arthur Zimek