A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity.
Guangliang ChenPublished in: S+SSPR (2018)
Keyphrases
- cosine similarity
- clustering algorithm
- vector space
- document clustering
- k means
- normalized cut
- similarity measure
- distance measure
- similarity function
- data clustering
- vector space model
- tf idf
- clustering method
- feature vectors
- euclidean distance
- cluster analysis
- spectral clustering
- text mining
- text documents
- low dimensional
- retrieval model
- dimensionality reduction
- xml documents
- data mining