Because optimal matching (OM) distance is not very sensitive to differences in the order of
states, we introduce a subsequence-based distance measure that can be adapted to …

We compare life course typology solutions generated by sequence analysis (SA) and latent
class analysis (LCA). First, we construct an analytic protocol to arrive at typology solutions …

How do we relate the distance between two sequences, as given by an algorithm such as
optimal matching, to sociologically meaningful notions of similarity and dissimilarity? This …

Motivated by the seemingly high accuracy levels of machine learning (ML) models in
Moldavian versus Romanian dialect identification and the increasing research interest on …

We explore the relations between the notion of distance and a feature set–based concept of
similarity and show that this concept of similarity has a spatial interpretation that is …

Clustering of motion trajectories is highly relevant for human-robot interactions as it allows
the anticipation of human motions, fast reaction to those, as well as the recognition of explicit …

In this chapter we focus on the axiomatic foundations of and the relations between two
fundamental concepts of sequence analysis: distance and similarity. We discuss and …

Sequence analysis of life-course data: a comparison of distance measures Page 1 Sequence
analysis of life-course data: a comparison of distance measures BRENDAN HALPIN Publication …

We present recent results of studies in application of sequencebased pattern structures and
emerging patterns to analysis of demographic sequences in Russia. This study is performed …

There are many different methods for computing relevant patterns in sequential data and
interpreting the results. In this paper, we compute emerging patterns (EP) in demographic …