AN OPTIMIZED UNSUPERVISED FEATURE SELECTION ALGORITHM

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KAKAEI MOTLAGH H.R.; MOLLAZADEH GOLMAHALEH M.; TEYMOURPOUR B.

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Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2015 | Volume:3 | Issue:3 (11) Page(s): 1-7

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Title

AN OPTIMIZED UNSUPERVISED FEATURE SELECTION ALGORITHM

Author(s)

KAKAEI MOTLAGH H.R. | MOLLAZADEH GOLMAHALEH M. | TEYMOURPOUR B. | Issue Writer Certificate

Keywords

FEATURE VECTORQ2

FEATURE VECTOR SELECTIONQ2

NEURAL NETWORKQ3

CLASSIFICATIONQ1

IMAGE COMPRESSING STANDARDQ2

Abstract

Choosing a FEATURE VECTOR for maximizing the success of a classifier machine is very effective. In this paper, using a combination of different methods to calculate the core function, an unsupervised feature selection algorithm improvement has been proposed. FEATURE VECTOR obtained by the proposed algorithm, will maximizes output accuracy of back propagation NEURAL NETWORK classifier. In this paper we used case study of standard encoding of images compressed by alternate method and uncompressed images classifying based on their relative bit stream. Standards for CLASSIFICATIONs are JPEG and JPEG2000 and for uncompressed images is TIFF format. Using this FEATURE VECTOR obtained by the proposed algorithm, classifier accuracy will be about 98%.

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APA: Copy

KAKAEI MOTLAGH, H.R., MOLLAZADEH GOLMAHALEH, M., & TEYMOURPOUR, B.. (2015). AN OPTIMIZED UNSUPERVISED FEATURE SELECTION ALGORITHM. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 3(3 (11)), 1-7. SID. https://sid.ir/paper/243183/en

Vancouver: Copy

KAKAEI MOTLAGH H.R., MOLLAZADEH GOLMAHALEH M., TEYMOURPOUR B.. AN OPTIMIZED UNSUPERVISED FEATURE SELECTION ALGORITHM. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2015;3(3 (11)):1-7. Available from: https://sid.ir/paper/243183/en

IEEE: Copy

H.R. KAKAEI MOTLAGH, M. MOLLAZADEH GOLMAHALEH, and B. TEYMOURPOUR, “AN OPTIMIZED UNSUPERVISED FEATURE SELECTION ALGORITHM,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 3, no. 3 (11), pp. 1–7, 2015, [Online]. Available: https://sid.ir/paper/243183/en

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