Clustering and Classification of Cotton Lint Using Principle Component Analysis, Agglomerative Hierarchical Clustering, and K-Means Clustering

Edwin Kamalha; Jovan Kiberu; Ildephonse Nibikora; Josphat Igadwa Mwasiagi; Edison Omollo

doi:10.1080/15440478.2017.1340220

Clustering and Classification of Cotton Lint Using Principle Component Analysis, Agglomerative Hierarchical Clustering, and K-Means Clustering

Journal of Natural Fibers ◽

10.1080/15440478.2017.1340220 ◽

2017 ◽

Vol 15 (3) ◽

pp. 425-435 ◽

Cited By ~ 2

Author(s):

Edwin Kamalha ◽

Jovan Kiberu ◽

Ildephonse Nibikora ◽

Josphat Igadwa Mwasiagi ◽

Edison Omollo

Keyword(s):

Hierarchical Clustering ◽

Principle Component Analysis ◽

Component Analysis ◽

Agglomerative Hierarchical Clustering ◽

Cotton Lint ◽

Principle Component ◽

Clustering And Classification

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Identification and Classification of Technical Lignins by means of Principle Component Analysis and k‐Nearest Neighbor Algorithm

Chemistry–Methods ◽

10.1002/cmtd.202100065 ◽

2021 ◽

Vol 1 (8) ◽

pp. 352-353

Author(s):

Friedrich Fink ◽

Franziska Emmerling ◽

Jana Falkenhagen

Keyword(s):

Principle Component Analysis ◽

Nearest Neighbor ◽

Component Analysis ◽

K Nearest Neighbor ◽

Nearest Neighbor Algorithm ◽

Principle Component ◽

K Nearest Neighbor Algorithm ◽

Technical Lignins

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The Use of Principle Component Analysis in Type Classification of Air-dry Peat

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/21/1/012045 ◽

2014 ◽

Vol 21 ◽

pp. 012045 ◽

Cited By ~ 1

Author(s):

N Chukhareva ◽

A Zarubin ◽

O Bulgakova

Keyword(s):

Principle Component Analysis ◽

Component Analysis ◽

Principle Component ◽

Type Classification

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Classification of crop flours based on protein contents using near infra-red spectroscopy and principle component analysis

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/355/1/012002 ◽

2019 ◽

Vol 355 ◽

pp. 012002

Author(s):

I Yuliyanda ◽

R E Masithoh ◽

N Khuriyati ◽

A D Saputro

Keyword(s):

Principle Component Analysis ◽

Component Analysis ◽

Principle Component ◽

Infra Red

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Significance of Chromatographic and Voltammetric Data for the Classification of Green Teas in Türkiye: A Principle Component Analysis Approach

Journal of Liquid Chromatography &amp Related Technologies ◽

10.1080/10826070802603153 ◽

2008 ◽

Vol 32 (2) ◽

pp. 221-241 ◽

Cited By ~ 9

Author(s):

Emrah Kilinc

Keyword(s):

Principle Component Analysis ◽

Component Analysis ◽

Analysis Approach ◽

Principle Component

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Identification and Classification of Technical Lignins by means of Principle Component Analysis and k‐Nearest Neighbor Algorithm

Chemistry–Methods ◽

10.1002/cmtd.202100028 ◽

2021 ◽

Author(s):

Friedrich Fink ◽

Franziska Emmerling ◽

Jana Falkenhagen

Keyword(s):

Principle Component Analysis ◽

Nearest Neighbor ◽

Component Analysis ◽

K Nearest Neighbor ◽

Nearest Neighbor Algorithm ◽

Principle Component ◽

K Nearest Neighbor Algorithm ◽

Technical Lignins

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Accumulated grey‐level image representation for classification of lung cancer genetic mutations employing 2D principle component analysis

Electronics Letters ◽

10.1049/el.2017.1890 ◽

2018 ◽

Vol 54 (4) ◽

pp. 194-196 ◽

Cited By ~ 2

Author(s):

S.A. Abdelrahman ◽

M.M. Abdelwahab

Keyword(s):

Lung Cancer ◽

Principle Component Analysis ◽

Image Representation ◽

Component Analysis ◽

Genetic Mutations ◽

Grey Level ◽

Cancer Genetic ◽

Principle Component ◽

Grey Level Image

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Classification of Epilepsy Using High-Order Spectra Features and Principle Component Analysis

Journal of Medical Systems ◽

10.1007/s10916-010-9633-6 ◽

2011 ◽

Vol 36 (3) ◽

pp. 1731-1743 ◽

Cited By ~ 27

Author(s):

Xian Du ◽

Sumeet Dua ◽

Rajendra U. Acharya ◽

Chua Kuang Chua

Keyword(s):

Principle Component Analysis ◽

Component Analysis ◽

High Order ◽

Principle Component

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Cover Picture: Identification and Classification of Technical Lignins by means of Principle Component Analysis and k‐Nearest Neighbor Algorithm (Chemistry ‐ Methods 8/2021)

Chemistry–Methods ◽

10.1002/cmtd.202100066 ◽

2021 ◽

Vol 1 (8) ◽

pp. 350-350

Author(s):

Friedrich Fink ◽

Franziska Emmerling ◽

Jana Falkenhagen

Keyword(s):

Principle Component Analysis ◽

Nearest Neighbor ◽

Component Analysis ◽

K Nearest Neighbor ◽

Nearest Neighbor Algorithm ◽

Principle Component ◽

K Nearest Neighbor Algorithm ◽

Picture Identification ◽

Technical Lignins

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A NOVEL APPROACH FOR THE EXTRACTION AND CLASSIFICATION OF TUMOR IN MR IMAGES OF THE BRAIN VIA PRINCIPLE COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR MACHINE

International Journal of Advanced Research in Computer Science ◽

10.26483/ijarcs.v8i7.4585 ◽

2017 ◽

Vol 8 (7) ◽

pp. 1206-1211

Author(s):

Meenakshi Pareek ◽

Keyword(s):

Support Vector Machine ◽

Principle Component Analysis ◽

Component Analysis ◽

Support Vector ◽

Mr Images ◽

Principle Component ◽

Novel Approach ◽

Kernel Support Vector Machine ◽

The Brain

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Fall-Risk Classification of the Timed Up-And-Go Test with Principle Component Analysis

International Journal of Neurorehabilitation ◽

10.4172/2376-0281.1000106 ◽

2014 ◽

Vol 01 (01) ◽

Author(s):

Noriko Tanaka Nor Aini Zakaria

Keyword(s):

Principle Component Analysis ◽

Fall Risk ◽

Component Analysis ◽

Risk Classification ◽

Timed Up And Go ◽

Principle Component

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