K-means clustering and hierarchical cluster analysis coupled with linear discriminant analysis to classify signals in osmotic fragility test for thalassemia screening
Investigation has been made in applying chemometric treatment of unbiased approaches to classify signals in osmotic fragility test for thalassemia screening. K-means clustering and hierarchical clustering analysis coupled with linear discriminant analysis were the chemometric techniques employed in...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | دورية |
| منشور في: |
2018
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84881236245&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/47731 |
| الوسوم: |
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| الملخص: | Investigation has been made in applying chemometric treatment of unbiased approaches to classify signals in osmotic fragility test for thalassemia screening. K-means clustering and hierarchical clustering analysis coupled with linear discriminant analysis were the chemometric techniques employed in this work. A knowledge determined from conventional approaches in osmotic fragility test together with multivariate analysis provides a complementary tool and novel approach for disease diagnosis. |
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