Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535466
Title: Application of cluster analysis to high-throughput multiple data types
Author: Cunningham, Gordon John
Awarding Body: University of Glasgow
Current Institution: University of Glasgow
Date of Award: 2011
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Abstract:
PolySNAP is a program used for analysis of high-throughput powder diffraction data. The program matches diffraction patterns using Pearson and Spearman correlation coefficients to measure the similarity of the profiles of each pattern with every other pattern, which creates a correlation matrix. This correlation matrix is then used to partition the patterns into groups using a variety of cluster analysis methods. The original version could not handle any data types other than powder X-ray Diffraction. The aim of this project was to expand the methods used in PolySNAP to allow it to analyse other data types, in particular Raman spectroscopy, differential scanning calorimetry and infrared spectroscopy data. This involves the preparation of suitable compounds which can be analysed using these techniques. The main compounds studied are sulfathiazole, carbamazepine and piroxicam. Some additional studies have been carried out on other datasets, including a test on an unseen dataset to test the efficacy of the methods. The optimal method for clustering any unknown dataset has also been determined.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.535466  DOI: Not available
Keywords: QD Chemistry
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