Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters.
Raúl V. Casaña EslavaIan H. JarmanPaulo J. G. LisboaJosé David Martín-GuerreroPublished in: Neurocomputing (2017)
Keyphrases
- data distribution
- clustering algorithm
- cluster centers
- data points
- hierarchical clustering
- arbitrary shape
- cluster validity
- overlapping clusters
- k means
- data streams
- clustering method
- fuzzy c means
- learning algorithm
- multi dimensional data
- data clustering
- multi dimensional
- document clustering
- high dimensional data
- dimensionality reduction
- pattern recognition
- neural network