An Unsupervised Approach for Content-Based Clustering of Emails Into Spam and Ham Through Multiangular Feature Formulation.
Asif KarimSami AzamBharanidharan ShanmugamKrishnan KannoorpattiPublished in: IEEE Access (2021)
Keyphrases
- spam filters
- email spam
- spam filtering
- anti spam
- spam emails
- clustering algorithm
- clustering method
- image retrieval
- spam detection
- data points
- multimedia
- text mining
- enron email
- k means
- feature vectors
- data clustering
- feature importance
- anomaly detection
- hierarchical clustering
- relevance feedback
- alternating optimization
- phishing emails
- cluster analysis
- dissimilarity measure
- fuzzy clustering
- spectral clustering
- data sets
- self organizing maps
- information retrieval
- data mining