Enhanced peptide quantification using spectral count clustering and cluster abundance.
Seungmook LeeMin-Seok KwonHyoung-Joo LeeYoung-Ki PaikHaixu TangJae K. LeeTaesung ParkPublished in: BMC Bioinform. (2011)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- normalized cut
- unsupervised clustering
- inter cluster
- clustering approaches
- data points
- overlapping clusters
- clustering framework
- k means
- spectral clustering
- cluster membership
- clustering procedure
- supervised clustering
- intra cluster
- constrained clustering
- instance level constraints
- disjoint clusters
- hierarchical clustering algorithm
- spectral methods
- tandem mass
- subspace clustering
- clustering method
- clustering scheme
- clustering result
- cluster structure
- evolutionary clustering
- arbitrary shape
- clustering analysis
- clustering quality
- cluster centers
- semi supervised clustering
- cluster validation
- cluster validity
- model based clustering
- spectral analysis
- categorical data
- hyperspectral
- density based clustering algorithm
- agglomerative hierarchical clustering
- outlier detection
- validity measures
- web snippets
- unsupervised learning
- homogeneous groups
- remote sensing
- rough k means
- overlapping clustering
- data objects
- meaningful clusters
- hierarchical agglomerative clustering
- fuzzy c means
- density based clustering
- graph partitioning
- similarity matrix