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 our method based on VaDE (Variational Deep Embedding) together with four improvements t...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Uppsala universitet, Institutionen för informationsteknologi
2020
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-439300 |