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BIBE
2003
IEEE
128views Bioinformatics» more  BIBE 2003»
15 years 7 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
16 years 3 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
98
Voted
KES
2008
Springer
15 years 1 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»
15 years 10 days 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»
15 years 3 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