Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/E1D41706-8BB6-47C9-9395-68C788203933 | - |
| Αναγνωριστικό | https://doi.org/10.1117/12.2194432 | - |
| Γλώσσα | en | - |
| Τίτλος | Spatially constrained clustering over GIS generated suitability maps | en |
| Δημιουργός | Partsinevelos Panagiotis | en |
| Δημιουργός | Παρτσινεβελος Παναγιωτης | el |
| Δημιουργός | Papadakis Kostas | en |
| Εκδότης | Society of Photo-optical Instrumentation Engineers | en |
| Περίληψη | An abundance of GIS and Remote Sensing based spatial analysis studies result in various types of suitability maps, where selected regions are classified according to application driven qualitative or quantitative rules. Often, upon the resulting classified regions which define spatially constrained classes, users intent to position facilities in order to satisfy a series of demand sites spread throughout the study area. This fine tuning procedure, not tackled under classic clustering and location analysis algorithms, is addressed through the extension of k-means algorithm, by restricting cluster centers inside a priori outlined regions, while minimizing distance metrics towards demand locations. Experimentation in both synthetic and real based datasets shows the applicability of the approach and demonstrates the overall performance of the algorithm. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-13 | - |
| Ημερομηνία Δημοσίευσης | 2015 | - |
| Βιβλιογραφική Αναφορά | P. Partsinevelos, K. Papadakis, "Spatially constrained clustering over GIS generated suitability maps," in Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015. doi: 10.1117/12.2194432 | en |
Copyright © DIAS 2013
