Research Article
Similarity Consideration for Visualization and Manifold Geometry Preservation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 16 - Issue 2 |
| Published: February 2011 |
| Authors: Shashwati Mishra, Chittaranjan Pradhan |
10.5120/1981-2664
|
Shashwati Mishra, Chittaranjan Pradhan . Similarity Consideration for Visualization and Manifold Geometry Preservation. International Journal of Computer Applications. 16, 2 (February 2011), 36-39. DOI=10.5120/1981-2664
@article{ 10.5120/1981-2664,
author = { Shashwati Mishra,Chittaranjan Pradhan },
title = { Similarity Consideration for Visualization and Manifold Geometry Preservation },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 16 },
number = { 2 },
pages = { 36-39 },
doi = { 10.5120/1981-2664 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Shashwati Mishra
%A Chittaranjan Pradhan
%T Similarity Consideration for Visualization and Manifold Geometry Preservation%T
%J International Journal of Computer Applications
%V 16
%N 2
%P 36-39
%R 10.5120/1981-2664
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Manifold learning techniques are used to preserve the original geometry of dataset after reduction by preserving the distance among data points. MDS (Multidimensional Scaling), ISOMAP (Isometric Feature Mapping), LLE (Locally Linear Embedding) are some of the geometrical structure preserving dimension reduction methods. In this paper, we have compared MDS and ISOMAP and considered similarity as an approach to find the reduced representation of original data using ISOMAP.
References
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