Eye-movement data: Cumulative fixation time and cluster analysis

C. R. Latimer
1988 Behavoir research methods, instruments & computers  
This paper describes procedures for the visual presentation and cluster analysis of eye-movement data. Methods for two-and three-dimensional representation of cumulative fixation time (CFT) and ways of enhancing the peaks in CFT distributions are outlined and illustrated by reference to examples from eye-movement studies of cognitive processes. CFT distributions may also be partitioned using the k means clustering technique (MacQueen, 1967) , and applications of variants of this technique to
more » ... -movement data are discussed. Cluster analyses such as k means
doi:10.3758/bf03202698 fatcat:flkxhkzunnbz3cjpbm5wtnhp34