GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
Andrew LensenBing XueMengjie ZhangPublished in: GECCO (2017)
Keyphrases
- genetic programming
- graph theoretic
- fitness function
- graph clustering
- clustering algorithm
- evolutionary computation
- clustering method
- graph model
- hierarchical clustering
- symbolic regression
- graph representation
- k means
- fully automatic
- unsupervised learning
- gene expression programming
- evolutionary algorithm
- arbitrary shape
- categorical data
- grammar guided genetic programming
- financial forecasting
- partitioning algorithm
- graph construction
- graph mining
- graph theory
- bipartite graph
- semi automatic
- outlier detection
- three dimensional
- cluster analysis
- data clustering
- graph partitioning
- genetic algorithm
- spectral clustering
- data objects
- spherical harmonics
- data points
- self organizing maps
- distance metric
- agglomerative clustering
- graph matching