Name
Title | ||
|---|---|---|
Tandem Fusion Of Nearest Neighbor Editing And Condensing Algorithms - Data Dimensionality Effects |
Abstract | ||
|---|---|---|
In this paper, the effect of the dimensionality of date sets on the exploitation of synergy among known nearest neighbour (NN) editing and condensing tools is analyzed using a synthetic data set. The synergy is exploited through a tandem mode of fusion approach that combines the proximity graph (PG) based editing scheme and the minimal consistent set (MCS) condensing technique. These two methods were selected on the basis of prior experience to representatively evaluate the effect of the data dimensionality. The algorithm level fusion of PG editing and MCS condensing is experimentally shown to be a powerful implement across the range of data dimensionality. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICPR.2000.906169 | 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS |
Keywords | Field | DocType |
synthetic data,data reduction,training set,graph theory,computer science,editing,prototypes,classification algorithms,neural networks,nearest neighbor | Data mining,Data set,Computer science,Synthetic data,Artificial intelligence,Artificial neural network,Graph theory,k-nearest neighbors algorithm,Pattern recognition,Algorithm,Curse of dimensionality,Statistical classification,Data reduction | Conference |
ISSN | Citations | PageRank |
1051-4651 | 3 | 0.37 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Belur V. Dasarathy | 1 | 346 | 61.65 |
| José Salvador Sánchez | 2 | 184 | 15.36 |