A self-verifying clustering approach to unsupervised matching of product titles.
Leonidas AkritidisAthanasios FevgasPanayiotis BozanisChristos MakrisPublished in: Artif. Intell. Rev. (2020)
Keyphrases
- unsupervised learning
- clustering algorithm
- k means
- completely unsupervised
- unsupervised classification
- unsupervised clustering
- unsupervised manner
- categorical data
- information bottleneck
- agglomerative clustering
- data points
- supervised classification
- feature matching
- clustering method
- minimum message length
- unsupervised feature selection
- similarity assessment
- hierarchical clustering
- image matching
- graph matching
- cluster validation
- semi supervised
- similarity calculation
- object recognition
- optimal matching
- self organizing maps
- pattern matching
- shape matching
- product quality
- life cycle
- outlier detection
- high dimensional data
- anomaly detection
- similarity measure