Deep Subspace K-Means Clustering for Syringe Defect Detection Without Defective Samples.
Fei YanXiaodong WangLongfu HongZhiyao XiePublished in: DSIE (2023)
Keyphrases
- defect detection
- feature extraction
- test sample
- data sets
- training samples
- low dimensional
- k means
- clustering algorithm
- principal component analysis
- automated visual inspection
- dimensionality reduction
- training set
- high dimensional
- lower dimensional
- input data
- principal components
- subspace learning
- principal components analysis
- sample set
- unsupervised learning
- decision trees
- high dimensional data
- subspace clustering
- sample points
- textured surfaces