Data handling in data fusion: Methodologies and applications

The use of data fusion methodologies has increased at the same rhythm as capability modern analytical laboratories measuring sample from multiple sources. Almost all strategies can be grouped into three levels, they fuse differently with sole aim obtaining a better response (qualitative or quantitative) than that obtained by instruments individually. One major key points for to succeed is understanding structure particular instrument. This point not exhaustively commented in literature focused on fusion, sometimes paying too much attention algorithms instead. manuscript explains different platforms. Special will given nature and relationships between samples variables, well within variables.