Name
Title | ||
|---|---|---|
Coupling Recursive Hyperspheric Classification with Linear Discriminant Analysis for Improved Results |
Abstract | ||
|---|---|---|
Recursive Hyper spheric Classification (RHC) can accurately and succinctly classify large datasets by dissecting labeled vectors into their constituent groups, or hyper spheres. While RHC is a powerful classification tool, coupling RHC with other linear classifiers enhances the ability and accuracy of the classification system, improving recognition of unlabeled vectors. In this paper, RHC is paired with Linear Discriminant Analysis (LDA) for improved classification and recognition rates. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ITNG.2013.91 | Information Technology: New Generations |
Keywords | Field | DocType |
classification system,improved results,linear discriminant analysis,coupling recursive hyperspheric classification,recursive hyper spheric classification,large datasets,recognition rate,constituent group,improved classification,hyper sphere,powerful classification tool,coupling rhc,classification algorithms,machine learning,euclidean distance,learning artificial intelligence,vectors,couplings | Optimal discriminant analysis,One-class classification,Coupling,Pattern recognition,Computer science,Artificial intelligence,Linear discriminant analysis,Dimensional reduction,Linear classifier,Statistical classification,Recursion | Conference |
ISBN | Citations | PageRank |
978-0-7695-4967-5 | 1 | 0.35 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salyer B. Reed | 1 | 2 | 1.37 |
| Tyson R. C. Reed | 2 | 2 | 0.70 |
| Sergiu Dascalu | 3 | 362 | 79.10 |