Clustering, biclustering and novel triclustering techniques offer a very suitable framework to solve the suggested problem. In this work we present LSL, a ...

In this work we present LSL, a measure to evaluate the quality of triclusters found in 3D data. LSL: A new measure to evaluate triclustersDavid Guti ́errez ...

Clustering, biclustering and novel triclustering techniques offer a very suitable framework to solve the suggested problem. In this work we present LSL, a ...

In this work we present LSL, a measure to evaluate the quality of triclusters found in 3D data. ... Finally, LSL measure of a tricluster ... In this work we have ...

An evaluation measure for triclusters is presented called Multi Slope Measure, based on the similarity among the angles of the slopes formed by each profile ...

Aug 6, 2018 · We propose TRIQ, a single evaluation measure that combines the three measures previously described: correlation, graphic validation and functional annotation.

We also have presented LSL in our recent study, which measures the quality of a tricluster based on the similarity among the slopes of the angles formed by the ...

Bibliographic details on LSL: A new measure to evaluate triclusters.

Triclustering has shown to be a valuable tool for the analysis of microarray data since its appearance as an improvement of classical clustering and ...

Firstly, the TRIQ quality measure [24] that provides an index to determine the similarity of the patterns of the triclusters and the correlation level of the ...