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BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 7 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
WSOM
2009
Springer
14 years 2 months ago
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...
Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
14 years 1 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
APIN
2007
69views more  APIN 2007»
13 years 7 months ago
Semi-parametric optimization for missing data imputation
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian ...