Clustering approach to protein folding problem and dynamics of the tropical atmosphere

Many 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 e...

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Bibliographic Details
Main Author: Mikhail Filippov
Other Authors: Cheong Siew Ann
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/66991
Description
Summary:Many 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.