Interpreter-Driven Multiattribute Classification
Katy Sutton, Gaynor Paton, James A. Lowell, Stephen J. Purves · 2011
Facies classification by means of multiattribute clustering is becoming a more widely used method of identifying and extracting multiple facies within a dataset. Typically these methods are entirely data driven, have minimal input, and therefore do not take into account any a priori knowledge from the interpreter. We present a new interpreter-driven technique that provides simple, real time interaction with multidimensional attribute space.