Arkajyoti Saha

发表

Statistical field calibration of a low-cost PM2.5 monitoring network in Baltimore.

A. Datta, K. Koehler, D. Gentner, 2020, Atmospheric environment.

nnSVG: scalable identiﬁcation of spatially variable genes using nearest-neighbor Gaussian processes

K. Hansen, A. Datta, L. M. Weber, 2022 .

Inferring independent sets of Gaussian variables after thresholding correlations

D. Witten, J. Bien, Arkajyoti Saha, 2022, 2211.01521.

Clustering of fuzzy data and simultaneous feature selection: A model selection approach

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2017, Fuzzy Sets Syst..

On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2017, Fuzzy Sets Syst..

Random forests for binary geospatial data

A. Datta, Arkajyoti Saha, 2023, 2302.13828.

Random Forests for dependent data

Sumanta Basu, A. Datta, Arkajyoti Saha, 2020, ArXiv.

nnSVG: scalable identification of spatially variable genes using nearest-neighbor Gaussian processes

K. Hansen, A. Datta, Arkajyoti Saha, 2023, bioRxiv.

BRISC: bootstrap for rapid inference on spatial covariances

Abhirup Datta, Arkajyoti Saha, A. Datta, 2018 .

RandomForestsGLS: An R package for Random Forests for dependent data

Sumanta Basu, A. Datta, Arkajyoti Saha, 2022, J. Open Source Softw..

Random Forests for Spatially Dependent Data

Sumanta Basu, Abhirup Datta, Arkajyoti Saha, 2021, Journal of the American Statistical Association.

Scalable Predictions for Spatial Probit Linear Mixed Models Using Nearest Neighbor Gaussian Processes

A. Datta, S. Banerjee, Arkajyoti Saha, 2022, Journal of Data Science.

nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processes

K. Hansen, A. Datta, Arkajyoti Saha, 2023, bioRxiv.

Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2019, IEEE Transactions on Cybernetics.

Optimizing cluster structures with inner product induced norm based dissimilarity measures: Theoretical development and convergence analysis

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2016, Inf. Sci..

Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering: Theoretical development and convergence analysis

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2017, Inf. Sci..

Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2017, Machine Learning.

Automated feature weighting in clustering with separable distances and inner product induced norms - A theoretical generalization

Swagatam Das, Arkajyoti Saha, Swagatam Das, 2015, Pattern Recognit. Lett..