Identifying types of facial skin / Nur Saina Haji Basri

There are many type of facial skin includes normal, dry, oily, combination and sensitive. In this research, it will be concentrated on three types of facial skin only which are oily, dry and combination skin. Users might have oily skin, dry skin or combination skin. This system will help users to id...

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Main Author:	Nur Saina, Haji Basri
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Mathematical statistics Probabilities
Online Access:	https://ir.uitm.edu.my/id/eprint/33536/1/33536.pdf
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id	my-uitm-ir.33536
record_format	uketd_dc
spelling	my-uitm-ir.335362020-08-14T02:31:19Z Identifying types of facial skin / Nur Saina Haji Basri 2012-07-01 Nur Saina, Haji Basri Mathematical statistics. Probabilities Multivariate analysis. Cluster analysis. Longitudinal method Philosophy. Theory. Classification. Methodology There are many type of facial skin includes normal, dry, oily, combination and sensitive. In this research, it will be concentrated on three types of facial skin only which are oily, dry and combination skin. Users might have oily skin, dry skin or combination skin. This system will help users to identify which category the user’s skin belongs to. So, it is easier for the users to choose the right facial skin product that is suit with the user skin due to various products that can be found in the market nowadays. K-Means clustering technique are used for this project to cluster a partition of skin to identify either the regions of skin are oily or dry and determine either the user skin belongs to oily group, dry group or combination group which is combination of oily and dry skin. The result of this technique obtained 94% of precision rate and 4% of error rate which make the accuracy rate is 94%. This result is compared with observation’s result made earlier which is done experimentally to support the accuracy of the result. 2012-07 Thesis https://ir.uitm.edu.my/id/eprint/33536/ https://ir.uitm.edu.my/id/eprint/33536/1/33536.pdf text en public degree Universiti Teknologi MARA Cawangan Perak Faculty of Computer and Mathematical Sciences Dr. Puteri Nor Hashimah, Megat Abdul Rahman
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Dr. Puteri Nor Hashimah, Megat Abdul Rahman
topic	Mathematical statistics Probabilities Mathematical statistics Probabilities Mathematical statistics Probabilities
spellingShingle	Mathematical statistics Probabilities Mathematical statistics Probabilities Mathematical statistics Probabilities Nur Saina, Haji Basri Identifying types of facial skin / Nur Saina Haji Basri
description	There are many type of facial skin includes normal, dry, oily, combination and sensitive. In this research, it will be concentrated on three types of facial skin only which are oily, dry and combination skin. Users might have oily skin, dry skin or combination skin. This system will help users to identify which category the user’s skin belongs to. So, it is easier for the users to choose the right facial skin product that is suit with the user skin due to various products that can be found in the market nowadays. K-Means clustering technique are used for this project to cluster a partition of skin to identify either the regions of skin are oily or dry and determine either the user skin belongs to oily group, dry group or combination group which is combination of oily and dry skin. The result of this technique obtained 94% of precision rate and 4% of error rate which make the accuracy rate is 94%. This result is compared with observation’s result made earlier which is done experimentally to support the accuracy of the result.
format	Thesis
qualification_level	Bachelor degree
author	Nur Saina, Haji Basri
author_facet	Nur Saina, Haji Basri
author_sort	Nur Saina, Haji Basri
title	Identifying types of facial skin / Nur Saina Haji Basri
title_short	Identifying types of facial skin / Nur Saina Haji Basri
title_full	Identifying types of facial skin / Nur Saina Haji Basri
title_fullStr	Identifying types of facial skin / Nur Saina Haji Basri
title_full_unstemmed	Identifying types of facial skin / Nur Saina Haji Basri
title_sort	identifying types of facial skin / nur saina haji basri
granting_institution	Universiti Teknologi MARA Cawangan Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/33536/1/33536.pdf
_version_	1783734245860048896

Identifying types of facial skin / Nur Saina Haji Basri

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