Dorothy M. Fisher

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Kohonen's self-organizing map (SOM) network is an unsupervised learning neural network that maps an n-dimensional input data to a lower dimensional output map while maintaining the original topological relations. The extended SOM network further groups the nodes on the output map into a user specified number of clusters. In this research effort, we applied(More)
The Web has great potential as the content on the Web can be presented in different formats to make information available to individuals with disabilities. However, the potential of the Web is still largely unrealized. Most of the students in the information systems program are unaware of accessibility issues. Few information systems departments have(More)
For a business school, the selection of its peer schools is an important component of its International Association for Management Education (AACSB) (re)accreditation process. A school typically compares itself with other institutions having similar structural and identity-based attributes. The identification of peer schools is critical and can have a(More)
Kohonen's Self-Organizing Map (SOM) network maps input data to a lower dimensional output map. The extended SOM network further groups the nodes on the output map into a user specified number of clusters. Kiang, Hu and Fisher [4] used the extended SOM network for market segmentation and showed that the extended SOM provides better results than the(More)
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