Graph Embedding and Dimensionality Reduction - A Survey
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 1
Abstract
Dimension reduction is defined as the process of mapping high-dimensional data to a lowerdimensional vector space. Most machine learning and data mining techniques may not be effective for high-dimensional data. In order to handle this data adequately, its dimensionality needs to be reduced. Dimensionality reduction is also needed for visualization, graph embedding, image retrieval and a variety of applications. This paper discuss the most popular linear dimensionality reduction method Principal Component Analysis and the various non linear dimensionality reduction methods such as Multidimensional scaling, Isomap, Locally Linear Embedding, Laplacian Eigen Map, Semidefinite embedding, Minimum Volume Embedding and Structure Preserving Embedding .
Authors and Affiliations
Nishana S S , Subu Surendran
Keywords
Related Articles
- EP ID EP114721
- DOI -
- Views 122
- Downloads 0
Design and Implementation of Captcha with Click Point Authentication based on Hard AI Problems
A fundamental task in security is to create cryptographic primitives based on hard mathematical problems that are computationally intractable Using hard AI problems for security is emerging as an exciting new paradigm, b...
LZW Lossless Text Data Compression Algorithm – A Review
In this paper, we discuss LZW data compression techniques for strings with various conditions. Initially, string contains the single character with the varied string length of 10, 20, 30, 40, 50, and 100 taken. Then alte...
Design of Web Access Interface Design for People with Neuromotor Disorders
A major part of Indian population suffers from different types of motor disorders. A majority of this people has cerebral palsy. People suffering from cerebral palsy have great difficulties for communication. Augmentativ...
A SURVEY ON INFRASTRUCTURE ABSTRACTION OF WIRELESS SENSOR NETWORK
Wireless Sensor Network (WSN) is an autonomous sensor. Several abstractions are harnessed to ease out the difficult WSN application development. Various parameters have been developed to satisfy the different requirement...
DETECTING AND BLOCKING OF SPAM ZOMBIE MECHANISM
A zombie is a computer connected to the Internet that has been compromised by a hacker, computer virus or Trojan horse and can be used to perform malicious tasks of one sort or another under remote direction. Botnets of...