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IDA
1999
Springer
15 years 8 months ago
3D Grand Tour for Multidimensional Data and Clusters
Grand tour is a method for viewing multidimensional data via linear projections onto a sequence of two dimensional subspaces and then moving continuously from one projection to the...
Li Yang
133
Voted
DMIN
2008
152views Data Mining» more  DMIN 2008»
15 years 5 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
BIOINFORMATICS
2006
85views more  BIOINFORMATICS 2006»
15 years 4 months ago
Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data
Summary: We present a new R package for the assessment of the reliability of clusters discovered in high dimensional DNA microarray data. The package implements methods based on r...
Giorgio Valentini
GD
2004
Springer
15 years 9 months ago
Clustering Cycles into Cycles of Clusters
In this paper we study simple families of clustered graphs that are highly unconnected. We start by studying 3-cluster cycles, which are clustered graphs such that the underlying ...
Pier Francesco Cortese, Giuseppe Di Battista, Maur...
TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 6 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung