dc.creator | Tasoulis, S. K. | en |
dc.creator | Plagianakos, V. P. | en |
dc.creator | Tasoulis, D. K. | en |
dc.date.accessioned | 2015-11-23T10:49:34Z | |
dc.date.available | 2015-11-23T10:49:34Z | |
dc.date.issued | 2010 | |
dc.identifier | 10.1007/978-3-642-14571-1_17 | |
dc.identifier.isbn | 3642145701 | |
dc.identifier.issn | 3029743 | |
dc.identifier.uri | http://hdl.handle.net/11615/33577 | |
dc.description.abstract | The microarray DNA technologies have given researchers the ability to examine, discover and monitor thousands of genes in a single experiment. Nonetheless, the tremendous amount of data that can be obtained from microarray studies presents a challenge for data analysis, mainly due to the very high data dimensionality. A particular class of clustering algorithms has been very successful in dealing with such data, utilising information driven by the Principal Component Analysis. In this paper, we investigate the application of recently proposed projection based hierarchical clustering algorithms on gene expression microarray data. The algorithms apart from identifying the clusters present in a data set also calculate their number and thus require no special knowledge about the data. © 2010 Springer-Verlag. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-77955822718&partnerID=40&md5=ba7998e8ff319da93bc92ab50f22e6e7 | |
dc.subject | Bioinformatics | en |
dc.subject | Cluster Analysis | en |
dc.subject | Gene Expression Analysis | en |
dc.subject | Kernel Density Estimation | en |
dc.subject | Principal Component Analysis | en |
dc.subject | Unsupervised Clustering | en |
dc.subject | Data analysis | en |
dc.subject | Data dimensionality | en |
dc.subject | Data sets | en |
dc.subject | DNA technology | en |
dc.subject | Gene Expression Data | en |
dc.subject | Gene expression microarray | en |
dc.subject | Hierarchical clustering algorithms | en |
dc.subject | Principal Components | en |
dc.subject | Artificial intelligence | en |
dc.subject | Gene expression | en |
dc.subject | Clustering algorithms | en |
dc.title | Projection based clustering of gene expression data | en |
dc.type | other | en |