Document Clustering based on Similarity of Subjects using Integrated Subject Graph.
Masao NakadaYuko OsanaPublished in: Artificial Intelligence and Applications (2006)
Keyphrases
- document similarity
- graph theory
- similarity scores
- tolerance rough set
- similarity measure
- inexact graph matching
- random walk
- cosine similarity
- information retrieval systems
- structured data
- euclidean distance
- document images
- similarity matrix
- directed graph
- content similarity
- graph representation
- graph model
- graph matching
- similarity function
- distance measure
- document collections
- web documents
- document retrieval
- normalized cut
- maximum common subgraph
- keywords
- similarity computation
- retrieval systems
- connected components
- document clustering
- bipartite graph
- information retrieval
- semantic similarity
- structured documents
- graph partitioning
- graph mining
- document classification
- similarity graph
- pairwise