RDMN: A Relative Density Measure Based on MST Neighborhood for Clustering Multi-Scale Datasets.
Gaurav MishraSraban Kumar MohantyPublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- multiscale
- minimal spanning tree
- clustering algorithm
- synthetic datasets
- clustering method
- density based clustering algorithm
- similarity measure
- clustering approaches
- synthetic and real datasets
- dissimilarity measure
- k means
- hierarchical clustering
- data mining tasks
- benchmark datasets
- unsupervised learning
- edge detection
- high dimensional datasets
- document clustering
- intra cluster
- arbitrary shape
- neighborhood information
- fuzzy clustering
- data clustering
- image segmentation
- cluster analysis
- scale space
- gene expression profiles
- decision trees
- feature extraction
- pairwise
- proximity measures
- neighborhood structure
- multiresolution
- spectral clustering
- self organizing maps
- multiple scales
- data mining algorithms
- distance metric
- information theoretic
- density estimation
- coarse to fine