Clustering for Data Mining: A Data Recovery Approach

Capa
CRC Press, 29 de abr. de 2005 - 296 páginas
Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical attention that wou

O que estão dizendo - Escrever uma resenha

Não encontramos nenhuma resenha nos lugares comuns.

Outras edições - Visualizar todos

Informações bibliográficas