About this document

Deep Clustering for Wafer Defect Analysis by sowmyapatil325 is a document available to read on EtoBox.

The document outlines a research presentation on deep clustering and unsupervised representation learning for analyzing semiconductor wafer defect patterns. It includes sections on the introduction, literature review, research gaps, methodology, implementation, results, and future work. The findings indicate that SSL is effective, with DINO achieving the best clustering performance.

Author

sowmyapatil325

Language

EN