60 citations · 63 across the 4 of their papers we have counts for
4 papers
IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives
Jayasree Saha, Jayanta Mukherjee
DBSCAN is a fundamental density-based clustering technique that identifies any arbitrary shape of the clusters. However, it becomes infeasible while handling big data. On the other…
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme
Jayasree Saha, Yuvraj Khanna, Jayanta Mukherjee
Recently, CNN is a popular choice to handle the hyperspectral image classification challenges. In spite of having such large spectral information in Hyper-Spectral Image(s) (HSI),…
CNAK : Cluster Number Assisted K-means
Jayasree Saha, Jayanta Mukherjee
Determining the number of clusters present in a dataset is an important problem in cluster analysis. Conventional clustering techniques generally assume this parameter to be provid…
RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm
Jayasree Saha, Jayanta Mukhopadhyay
Recently, clustering with deep network framework has attracted attention of several researchers in the computer vision community. Deep framework gains extensive attention due to it…