Unsupervised Defect Classification
Unsupervised Defect Classification is a defect classification approach that autonomously identifies and categorizes defects without relying on labeled training data by leveraging intrinsic data structures and patterns.
25
Publications
1.5K
Citations
97
Authors
43
Institutions
Publications per year
2017–2026
14
Parents
25
Cross-project defect prediction using a connectivity-based unsupervised classifier
Feng Zhang, Quan Zheng, Ying Zou et al. · 2016 · 249 citations
Nafaâ Nacereddine, Aïcha Baya Goumeidane, Djemel Ziou · Computers in Industry · 2019 · 69 citations
1–5 of 25
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43
Universitas Dian Nuswantoro
Semarang, Indonesia
2 h-index
2 publications
30 citations

Universitas Gadjah Mada
Yogyakarta, Indonesia
2 h-index
6 publications
90 citations

Monash University
Melbourne, Australia
1 h-index
2 publications
112 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
2 publications
1.1K citations
Wuhan University of Technology
Wuhan, China
1 h-index
1 publications
24 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
6 publications
144 citations
Centro Tecnológico del Mar
Vigo, Spain
1 h-index
1 publications
12 citations

Central South University
Changsha, China
1 h-index
3 publications
39 citations
1–8 of 43
3 publications · 51 citations
3
h-index
2 publications · 64 citations
2
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1 publications · 25 citations
1
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JMP · 1 publications · 66 citations
1
h-index
1 publications · 18 citations
1
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1–5