73 search results - page 5 / 15 » Missing Values Imputation for a Clustering Genetic Algorithm |
110
Voted
CSDA
2011
14 years 1 months ago
2011
Imputation of missing values is one of the major tasks for data pre-processing in many areas. Whenever imputation of data from official statistics comes into mind, several (additi...
CSDA
2007
14 years 9 months ago
2007
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
68
Voted
FLAIRS
2008
14 years 12 months ago
2008
Recommendation systems suggest products to users. Collaborative filtering (CF) systems, which base those recommendations on a database of previous ratings by various users and pro...
68
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce quadratically gated mixture of experts (QGME), a statistical model for multi-class nonlinear classification. The QGME is formulated in the setting of incomplete data,...
ISBRA
2007
Springer
15 years 3 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...