Unsupervised Feature Vector Clustering Using Temporally Coded Spiking Networks.
Peter G. StrattonTara J. HamiltonAndrew WabnitzPublished in: IJCNN (2023)
Keyphrases
- feature vectors
- unsupervised learning
- unsupervised manner
- clustering algorithm
- clustering method
- k means
- unsupervised classification
- supervised classification
- hierarchical clustering
- information bottleneck
- euclidean distance
- feed forward
- spiking neurons
- information theoretic
- complex networks
- semi supervised
- supervised learning
- spatio temporal
- unsupervised clustering
- agglomerative clustering
- cluster validation
- spiking neural networks
- spectral clustering
- data clustering
- network analysis
- fuzzy clustering
- minimum message length
- network structure
- self organizing maps
- unsupervised feature selection
- feature extraction
- web people search
- completely unsupervised
- neuron model
- feature space
- data points
- feature set
- high dimensional data
- heterogeneous networks
- bio inspired
- social networks