Euclidean space based hierarchical clusterers combinations: an application to software clustering.
Rashid NaseemMustafa Mat DerisOnaiza MaqboolSara ShahzadPublished in: Clust. Comput. (2019)
Keyphrases
- euclidean space
- data points
- dissimilarity matrix
- hierarchical clustering
- shape analysis
- low dimensional
- cluster ensemble
- euclidean distance
- clustering method
- clustering algorithm
- vector space
- multi dimensional scaling
- metric space
- k means
- unsupervised learning
- geodesic distance
- distance metric
- cluster analysis
- dimensional euclidean space
- riemannian manifolds
- discrete space
- spectral clustering
- high dimensional data
- quadratic form
- pairwise distances
- constant curvature
- data clustering
- high dimensional
- pairwise
- neural network
- text clustering
- document clustering
- pattern recognition