A New Tool for Merging the Information Based on Clustering Methods

摘要

This paper shows the results of a generic tool developed for unsupervised classification based on the methodology LAMDA (Learning Algorithm for Multivariable Data Analysis). The new tool is called GUILSI (Generic tool of classification Using the algorithm Lamda for Supervision of functional states and assignment of elements). It describes how the tool GUILSI was used to segment an image and to make the diagnosis of complex processes, such in a chemical plant. It also makes a comparison of the new tool made in this research with the existing tool: SALSA (Situation Assessement using Lamda classification Algorithm). The new tool consists of two modes: learning by historical data (offline) and classification of new data (online).