Sari Aslam, N;
Cheng, T;
Cheshire, J;
Zhang, Y;
(2019)
Trip purpose identification using pairwise constraints based semi-supervised clustering.
In:
Proceedings of the 27th GISRUK conference 2019.
GISRUK
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Abstract
Clustering of smart card data captured by automated fare collection (AFC) systems has traditionally been viewed as an unsupervised method. However,some additional information about human behaviour is available in addition to the smart card data points that can facilitate better partitioning of the data. In this paper, such prior knowledge is translated into pairwise constraints and used with the COPKMEANS clustering algorithm to identify user activities. The effectiveness of the method was evaluated using performance evaluation measures by comparison of the results with the ground truth. The results demonstrate that pairwise constraints significantly enhance the accuracy of the clusters.
| Type: | Proceedings paper |
|---|---|
| Title: | Trip purpose identification using pairwise constraints based semi-supervised clustering |
| Event: | The 27th GISRUK conference 2019 |
| Location: | Newcastle, UK |
| Dates: | 23rd-26th April 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://gisruk.org/proceedings.html |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Trip purposes, smart card data, COP-KMEANS, semi-supervised clustering |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10127905 |
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