Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering.
Gonzalo NápolesLeonardo ConcepciónBüsra Özgöde YiginGörkem SaygiliKoen VanhoofRafael BelloPublished in: IWAIPR (2023)
Keyphrases
- clustering algorithm
- distributed systems
- clustering method
- hierarchical clustering
- cooperative
- multidimensional scaling
- k means
- distributed environment
- graph theoretic
- unsupervised learning
- nearest neighbor
- computationally efficient
- hypergraph partitioning
- data clustering
- feature space
- peer to peer
- digital images
- feature selection
- neighbor selection
- multi agent
- stochastic model
- distributed data
- graph model
- weighted graph
- similarity function
- lightweight
- computer networks
- dimensionality reduction
- document clustering
- cluster analysis
- outlier detection
- monte carlo
- self organizing maps
- high dimensional data