A Nonnegative Blind Source Separation Model for Binary Test Data

Schachtner, Reinhard ; Poppel, Gerhard ; Lang, Elmar W

Alternative Links zum Volltext:DOI Verlag

Bibliographische Daten exportieren

Zusammenfassung

A novel method called binNMF is introduced which aimed to extract hidden information from multivariate binary data sets. The method treats the problem in the spirit of blind source separation: The data are assumed to be generated by a superposition of several simultaneously acting sources or elementary causes which are not observable directly. The superposition process is based on a minimum of ...