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Found 4 papers, 1 papers with code
IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives
The purpose can be accomplished when clustering act as a tool to identify cluster representatives and query is served by assigning cluster labels of nearest representative.
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme
Recently, CNN is a popular choice to handle the hyperspectral image classification challenges.
CNAK : Cluster Number Assisted K-means
Overall we have observed significant improvement in speed and quality for predicting cluster numbers as well as the composition of clusters in a large dataset.
RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm
Our loss function uses the heuristics that true partitioning entails lower entropy given that the class distribution is not heavily skewed.
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