Conference
Research and application of clustering algorithm for arbitrary data set
| Τίτλος: | Research and application of clustering algorithm for arbitrary data set |
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| Συγγραφείς: | Song, Yu-Chen, O'Grady, Michael J., O'Hare, G. M. P. (Greg M. P.) |
| Στοιχεία εκδότη: | IEEE Computer Society |
| Έτος έκδοσης: | 2009 |
| Συλλογή: | University College Dublin: Research Repository UCD |
| Θεματικοί όροι: | Cluster analysis--Computer programs, Algorithms |
| Περιγραφή: | Paper presented at the 2008 International Conference on Computer Science and Software Engineering, December 12-14, 2008, Wuhan, China ; This paper discusses the theory and algorithmic design of the CADD (clustering algorithm based on object density and direction) algorithm. This algorithm seeks to harness the respective advantages of the k-means and DENCLUE algorithms. Clustering results are illustrated using both a simple data set and one from the geological domain. Results indicate that CADD is robust in that automatically determines the number K of clusters, and is capable of identifying clusters of multiple shapes and sizes. ; Science Foundation Ireland ; Conference details ; http://www.highsci.org/csse2008submission/website/csse/index.aspx |
| Τύπος εγγράφου: | conference object |
| Περιγραφή αρχείου: | 457320 bytes; application/pdf |
| Γλώσσα: | English |
| ISBN: | 978-0-7695-3336-0 0-7695-3336-1 |
| Relation: | Proceedings : International Conference on Computer Science and Software Engineering : CSSE 2008 : Volume 04; http://hdl.handle.net/10197/1347 |
| DOI: | 10.1109/CSSE.2008.415 |
| Διαθεσιμότητα: | http://hdl.handle.net/10197/1347 https://doi.org/10.1109/CSSE.2008.415 |
| Αριθμός Καταχώρησης: | edsbas.170FD3EF |
| Βάση Δεδομένων: | BASE |
| ISBN: | 9780769533360 0769533361 |
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| DOI: | 10.1109/CSSE.2008.415 |