A Survey on Dimension Reduction Techniques for Classification of Multidimensional data

Author(s):

Swati Kaur , Rungta College of Engg. and Technology

Keywords:

Dimension reduction, Data mining, machine learning, auto associative neural network

Abstract:

Progresses in information collection and storage capabilities amid the previous decades have prompted a data over-burden in many sciences. To translate the data covered up in multidimensional information can be considered as trying and entangled assignment. High-dimensional datasets present numerous numerical difficulties and in addition some opportunities, and will undoubtedly offer ascent to new hypothetical improvements. The statistical methods face challenging tasks when dealing with such high‐dimensional data. In any case, a significant part of the information is profoundly redundant furthermore, can be productively conveyed down to a much littler number of variables without a noteworthy loss of data. The mathematic strategies making conceivable this lessening are called dimensionality reduction; they have generally been produced by fields such as Statistics or Machine Learning. In this survey we order the plenty of dimension reduction systems accessible and give the numerical knowledge behind them.

Other Details:

Manuscript Id	:	IJSTEV2I12002
Published in	:	Volume : 2, Issue : 12
Publication Date	:	01/07/2016
Page(s)	:	31-37

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