Alzheimer's disease heterogeneity assessment using high dimensional clustering techniques
This thesis sets out to investigate the Alzheimer's disease (AD) heterogeneity in an unsupervised framework. Different subtypes of AD were identified in the past from a number of studies. The major objective of the thesis is to apply clustering methods that are specialized in coping with high d...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Statistik
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129923 |