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Supervised Deep Machine Learning Methods of Floral Data Image Processing

by R. Lakshmi Priya, M. Salomi, N. Manjula Devi, Manimannan G.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 35
Year of Publication: 2020
Authors: R. Lakshmi Priya, M. Salomi, N. Manjula Devi, Manimannan G.
10.5120/ijca2020920913

R. Lakshmi Priya, M. Salomi, N. Manjula Devi, Manimannan G. . Supervised Deep Machine Learning Methods of Floral Data Image Processing. International Journal of Computer Applications. 175, 35 ( Dec 2020), 47-52. DOI=10.5120/ijca2020920913

@article{ 10.5120/ijca2020920913,
author = { R. Lakshmi Priya, M. Salomi, N. Manjula Devi, Manimannan G. },
title = { Supervised Deep Machine Learning Methods of Floral Data Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2020 },
volume = { 175 },
number = { 35 },
month = { Dec },
year = { 2020 },
issn = { 0975-8887 },
pages = { 47-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number35/31681-2020920913/ },
doi = { 10.5120/ijca2020920913 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:40:24.143390+05:30
%A R. Lakshmi Priya
%A M. Salomi
%A N. Manjula Devi
%A Manimannan G.
%T Supervised Deep Machine Learning Methods of Floral Data Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 35
%P 47-52
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper attempts to identify the pattern of three types of images using deep machine learning methods for cluster analysis. These three different images were collected on different web domains with different pixels and under the floral head. The flowers have a basic RGB colour and Black and white colour with different Kilo Byte (KB) sizes. Python data-based software creates image Width, Height and Size. The machine-readable image embedding widget image generates a vector base database from

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Image Embedded Data Mining Hierarchical Clustering Cosine Distance and Image Visualization.

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