M. Drobics, W. Winiwarter, and U. Bodenhofer. Interpretation of self-organizing maps with fuzzy rules. In Proc. 12th IEEE Int. Conf. on Tools with Artificial Intelligence (ICTAI'00), pages 304--311. IEEE Press, 2000. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Islands of Music - Analysis, Organization, and Visualization of.. - Pampalk (2001) (Correct)
....within a cluster with those of other clusters and nds descriptors, which characterize some outstanding property of a cluster in relation to the rest of the collection. Other techniques include inductive machine learning algorithms, which extract fuzzy rules to describe the clusters [Ult91, UK95, DWB00] All these techniques have in common that they nd descriptions based on the dimensions and their meanings. For example, in the domain of text archive analysis it is common to use the vector space model [SM83] where the text documents are represented in a high dimensional space, with each ....
M. Drobics, W. Winiwarter, and U. Bodenhofer. Interpretation of selforganizing maps with fuzzy rules. In Proceedings of ICTAI'00, pages 304-311, Vancouver, 2000.
Data Mining Using Synergies Between Self-Organizing.. - Drobics, Bodenhofer, .. (2001) (1 citation) Self-citation (Drobics Winiwarter Bodenhofer) (Correct)
.... fuzzy set B of input samples as the sum of B (x) i.e. B = x#I B (x) Finally, the cardinality of samples fulfilling a rule A#C can be defined by A(I) #C(I) x#I t A(x)#C(x) x#I T t(A(x) t(C(x) To find the most accurate and significant descriptions, we use FS FOIL [8], a modification of Quinlan s FOIL algorithm [18] for fuzzy rules. It creates a stepwise coverage of each cluster such that not only spheric, but arbitrary clusters can be handled. We compute descriptions of the individual clusters independently, therefore, the goal predicate C is fixed and a ....
M. Drobics, W. Winiwarter, and U. Bodenhofer. Interpretation of self-organizing maps with fuzzy rules. In Proc. 12th IEEE Int. Conf. on Tools with Artificial Intelligence (ICTAI'00), pages 304--311. IEEE Press, 2000.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC