dc.contributor.authorMikhail Filippov
dc.date.accessioned2016-05-09T09:28:00Z
dc.date.available2016-05-09T09:28:00Z
dc.date.issued2016
dc.identifier.citationMikhail Filippov. (2016). Clustering approach to protein folding problem and dynamics of the tropical atmosphere. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/66991
dc.description.abstractMany different multidimensional and multivariate data-sets are studied currently in almost all research areas. Usually, the aim of such studies is to reveal meaningful patterns and to gain an insights about special characteristics of the particular data-set. It is usually done by scanning over the elements of the data-set at large and bringing up groups or clusters of these elements that exhibit correlations across the variables or dimensions. In this thesis I use different techniques to address two problems: protein folding and the dynamics of the tropical atmosphere.en_US
dc.format.extent134 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Science::Physicsen_US
dc.titleClustering approach to protein folding problem and dynamics of the tropical atmosphereen_US
dc.typeThesis
dc.contributor.supervisorCheong Siew Annen_US
dc.contributor.supervisorKoh Tieh Yongen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.description.degree​Doctor of Philosophy (SPMS)en_US


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