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BIBE
2003
IEEE
128views Bioinformatics» more  BIBE 2003»
15 years 3 months ago
A Repulsive Clustering Algorithm for Gene Expression Data
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...
Chyun-Shin Cheng, Shiuan-Sz Wang
ICPR
2002
IEEE
15 years 11 months ago
Data Clustering Using Evidence Accumulation
We explore the idea of evidence accumulation for combining the results of multiple clusterings. Initially, n d-dimensional data is decomposed into a large number of compact cluste...
Ana L. N. Fred, Anil K. Jain
74
Voted
KES
2008
Springer
14 years 10 months ago
An Algorithm to Assess the Reliability of Hierarchical Clusters in Gene Expression Data
The validation of clusters discovered in bio-molecular data is a central issue in bioinformatics. Recently, stability-based methods have been successfully applied to the analysis o...
Roberto Avogadri, Matteo Brioschi, Francesca Ruffi...
PRL
2010
158views more  PRL 2010»
14 years 8 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
EDM
2010
174views Data Mining» more  EDM 2010»
14 years 11 months ago
Clustering Student Learning Activity Data
We show a variety of ways to cluster student activity datasets using different clustering and subspace clustering algorithms. Our results suggest that each algorithm has its own st...
Haiyun Bian