Publication Type : Conference Paper
Publisher : 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS),
Source : 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), IEEE, Trivandrum, India (2015)
Url : https://ieeexplore.ieee.org/document/7488414
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2015
Abstract : This paper proposes a clustering landmark selection technique for Landmark Isomap (L-Isomap). L-Isomap randomly selects a set of points called landmark points from the data set, for computing the distance from the selected landmark points to all other non landmark points. Selection of the landmark points is crucial in proper representation of the data. The number of landmark points selected and the location of these points will be dependent on the data properties. The proposed method when compared with random L-Isomap and Isomap, performs well for different landmark points for different databases.
Cite this Research Publication : Dr. Manazhy Reshmi and Sankaran, P., “Landmark point selection using clustering for data classification”, in 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Trivandrum, India, 2015.