Projective ART for clustering data sets in high dimensional spaces

Neural Networks

Volumn 15, Issue 1, 2002, Pages 105-120

  Cao, Yongqiang ^a   Wu, Jianhong ^a  

^a YORK UNIVERSITY   (Canada)

Author keywords

Adaptive resonance theory; ART1; ART2; Data mining; Learning; Neural networks; Pattern recognition; Projected clustering

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA MINING; DATA STRUCTURES; FUZZY SETS;

DATA SETS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; DATA ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; METHODOLOGY; NERVE CELL NETWORK; NERVE PROJECTION; PRIORITY JOURNAL; SIGNAL TRANSDUCTION;

ALGORITHMS; COMPUTER SIMULATION; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 0036120047     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00108-3     Document Type: Article

References (11)

1. Fast algorithms for projected clustering
2. A massively parallel architecture for a self-organizing neural pattern recognition machine
3. ART2: Self-organization of stable category recognition codes for analog input patterns
4. ART3: Hierarchical search using chemical transmitters in self-organizing pattern recognition architectures
5. ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
6. ART2-A: An adaptive resonance algorithm for rapid category learning and recognition
7. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
8. Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
9. Comparing partitions