Improving the Applicability of Variational Deep Embedding in Unsupervised Large-Scale Data Clustering
The purpose of the thesis is to apply deep clustering (DC) on King'splayer segmentation. To that end we propose six crucial properties a DCneeds to meet in the context of big data applicability. We implement ourmethod based on VaDE (Variational Deep Embedding) together with fourimprovements to...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-428739 |