Rethinking the usage and experience of clustering markers in web mapping.
Loïc FürhoffPublished in: PeerJ Prepr. (2019)
Keyphrases
- website
- clustering algorithm
- clustering method
- web applications
- web usage
- usage data
- web pages
- web content
- user experience
- web objects
- web data
- usage patterns
- spectral clustering
- categorical data
- content similarity
- k means
- web snippets
- semantic web
- link analysis
- end users
- tag information
- browsing experience
- unsupervised learning
- personal experiences
- web documents
- linked data
- hierarchical clustering
- cluster analysis
- self organizing maps
- document clustering
- information theoretic
- tolerance rough set
- usage statistics
- user sessions
- web information retrieval
- information sources
- web technologies
- database
- data clustering