Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples
<p dir="ltr">Confussion matrices from 3 studies where different classification algorithms were employed including PLS-DA, K-NN, SVM, SIMCA and ANN. Studies used raw fiber, yarn and fabric samples.<br>Also, a detailed description of five classification models for Near Infrared S...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2024
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| الموضوعات: | |
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| _version_ | 1852025671105118208 |
|---|---|
| author | José Amorena (19813284) |
| author_facet | José Amorena (19813284) |
| author_role | author |
| dc.creator.none.fl_str_mv | José Amorena (19813284) |
| dc.date.none.fl_str_mv | 2024-10-25T11:53:15Z |
| dc.identifier.none.fl_str_mv | 10.6084/m9.figshare.27183717.v3 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Confusion_Matrices_for_Classification_Algorithms_of_Raw_Fiber_Yarn_and_Fabric_Samples/27183717 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Animal production not elsewhere classified Analytical spectrometry Polymers and plastics Wearable materials Applications in life sciences Data models, storage and indexing NIRS Near Infrared Spectroscopy Llama Lama glama Vicuna Vicugna vicugna vicugna Animal textile fibers Vegetable fibers Synthetic fibers Yarns Fabrics Raw fibers Textile materials SVM SIMCA PLS-DA ANN K-NN Alpaca Lama pacos |
| dc.title.none.fl_str_mv | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p dir="ltr">Confussion matrices from 3 studies where different classification algorithms were employed including PLS-DA, K-NN, SVM, SIMCA and ANN. Studies used raw fiber, yarn and fabric samples.<br>Also, a detailed description of five classification models for Near Infrared Spectroscopy is presented in Word format. Algorithms described are:<br>-Partial Least Squares Discriminant Analysis (PLS-DA)<br>-K-Nearest Neighbours (K-NN)<br>-Smooth Independent Modeling with Class Analogy (SIMCA)</p><p dir="ltr">-Support Vector Machine (SVM)<br>-Artificial Neural Networks (ANN)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_3d5641f8d4b3bbc0bf139840adbfccd5 |
| identifier_str_mv | 10.6084/m9.figshare.27183717.v3 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27183717 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric SamplesJosé Amorena (19813284)Animal production not elsewhere classifiedAnalytical spectrometryPolymers and plasticsWearable materialsApplications in life sciencesData models, storage and indexingNIRSNear Infrared SpectroscopyLlamaLama glamaVicunaVicugna vicugna vicugnaAnimal textile fibersVegetable fibersSynthetic fibersYarnsFabricsRaw fibersTextile materialsSVMSIMCAPLS-DAANNK-NNAlpacaLama pacos<p dir="ltr">Confussion matrices from 3 studies where different classification algorithms were employed including PLS-DA, K-NN, SVM, SIMCA and ANN. Studies used raw fiber, yarn and fabric samples.<br>Also, a detailed description of five classification models for Near Infrared Spectroscopy is presented in Word format. Algorithms described are:<br>-Partial Least Squares Discriminant Analysis (PLS-DA)<br>-K-Nearest Neighbours (K-NN)<br>-Smooth Independent Modeling with Class Analogy (SIMCA)</p><p dir="ltr">-Support Vector Machine (SVM)<br>-Artificial Neural Networks (ANN)</p>2024-10-25T11:53:15ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.27183717.v3https://figshare.com/articles/dataset/Confusion_Matrices_for_Classification_Algorithms_of_Raw_Fiber_Yarn_and_Fabric_Samples/27183717CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/271837172024-10-25T11:53:15Z |
| spellingShingle | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples José Amorena (19813284) Animal production not elsewhere classified Analytical spectrometry Polymers and plastics Wearable materials Applications in life sciences Data models, storage and indexing NIRS Near Infrared Spectroscopy Llama Lama glama Vicuna Vicugna vicugna vicugna Animal textile fibers Vegetable fibers Synthetic fibers Yarns Fabrics Raw fibers Textile materials SVM SIMCA PLS-DA ANN K-NN Alpaca Lama pacos |
| status_str | publishedVersion |
| title | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| title_full | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| title_fullStr | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| title_full_unstemmed | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| title_short | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| title_sort | Confusion Matrices for Classification Algorithms of Raw Fiber, Yarn, and Fabric Samples |
| topic | Animal production not elsewhere classified Analytical spectrometry Polymers and plastics Wearable materials Applications in life sciences Data models, storage and indexing NIRS Near Infrared Spectroscopy Llama Lama glama Vicuna Vicugna vicugna vicugna Animal textile fibers Vegetable fibers Synthetic fibers Yarns Fabrics Raw fibers Textile materials SVM SIMCA PLS-DA ANN K-NN Alpaca Lama pacos |