Comparison of Performance on the Different Classifiers of the Locating Protected Projection (LPP) Dimension Reduction Method Based LBP Features

Comparison of Performance on the Different Classifiers of the Locating Protected Projection (LPP) Dimension Reduction Method Based LBP Features

Image cells havetaken with Light Microscope help. The local binary pattern (LBP) features haveobtained for original images. High-dimensional of these LBP features is reducedto lower-dimensional with Locality Preserving Projections (LPP). These lowdimensional data are classified by the Random Forest...

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Bibliographic Details
Main Author: Sevcan Aytaç Korkmaz
Format: Article
Language:English
Published: Sakarya University 2018-08-01
Series:Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Subjects:
yerel ikili örüntü
rastgele orman
lpp
yapay sinir ağları
naive bayes
local binary pattern features
random forest
artificial neural networks
Online Access:https://dergipark.org.tr/tr/download/article-file/394755
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