A New Topology-Preserving Distance Metric with Applications to Multi-dimensional Data Clustering.
Konstantinos K. DelibasisPublished in: AIAI (2019)
Keyphrases
- data clustering
- distance metric
- topology preserving
- multi dimensional
- competitive learning
- unsupervised learning
- euclidean distance
- self organizing maps
- metric learning
- k means
- data points
- cluster analysis
- clustering algorithm
- level set method
- distance function
- distance measure
- spectral clustering
- binary images
- knn
- similarity measure
- neural network