Connection maps:  A new way to visualize similarity relationships.
Published: 2004
Language: eng
Number of pages: 120
Description: Hinton diagrams a visualization tool that has proven helpful for visualizing the patterns of connection strengths in artificial neural networks. This thesis explores whether a tool derived from Hinton diagrams could be helpful for visualizing similarity relationships. A connection map diagram arranges the elements in a data set on a 2-dimensional grid such that similar elements are near each other. Each element is represented by its 'connection map', which is an icon composed of colored squares indicating the pairwise similarity relationships of that element to all the other elements. Each colored square in a connection map is a pointer to the element at that position on the grid. Largely similar maps can be located and compared using the relative positions of differently colored squares and the overall position of this colored pattern within the connection map, a task to which our visual systems appear to be very well adapted.
Notes: Adviser:  Geoffrey Hinton.

Thesis (M.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 43-03, page: 0890.

MICR copy on microfiche (2 microfiches).