Publication Portfolio

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"Research contributions in machine learning and clustering algorithms"

2025

Journal

A Globally Collaborative Multi-View k-Means Clustering

Sinaga, Kristina P. and Yang, Miin-Shen

Electronics

Vol. 14, No. 11, pp. 2129

PDF Code Python Package DOI

Preprint

Calibration Meets Reality: Making Machine Learning Predictions Trustworthy

Sinaga, Kristina P. and Nair. Arjun, S.

arXiv preprint arXiv:2509.23665

PDF Code DOI

Preprint

Personalized Federated Learning with Heat-Kernel Enhanced Tensorized Multi-View Clustering

Sinaga, Kristina P.

arXiv preprint arXiv:2509.16101

PDF DOI

Preprint

Bi-Level Multi-View fuzzy Clustering with Exponential Distance

Sinaga, Kristina P.

arXiv preprint arXiv:2503.22932

PDF Code DOI

Preprint

Parameter-free entropy-regularized multi-view clustering with hierarchical feature selection

Sinaga, Kristina P., Colantonio, Sara, and Yang, Miin-Shen

arXiv preprint arXiv:2508.05504

PDF DOI

Preprint

Disproving the Feasibility of Learned Confidence Calibration Under Binary Supervision: An Information-Theoretic Impossibility

Nair, Arjun S., Sinaga, Kristina P.

arXiv preprint arXiv:2509.14386

PDF DOI

Preprint

FedHK-MVFC: Federated Heat Kernel Multi-View Clustering

Sinaga, Kristina P.

arXiv preprint arXiv:2509.15844

PDF DOI

2024

Journal

Federated Multi-View K-Means Clustering

Yang, Miin-Shen and Sinaga, Kristina P.

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE

PDF Code Python Package DOI

Preprint

Rectified Gaussian kernel multi-view k-means clustering

Sinaga, Kristina P.

arXiv preprint arXiv:2405.05619

PDF Code DOI

2023

Journal

Unsupervised multiview fuzzy c-means clustering algorithm

Hussain, Ishtiaq, Sinaga, Kristina P., and Yang, Miin-Shen

Electronics

Vol. 12, No. 21, pp. 4467

PDF Code DOI

2021

Journal

Collaborative feature-weighted multi-view fuzzy c-means clustering

Yang, Miin-Shen and Sinaga, Kristina P.

Pattern Recognition

Vol. 119, pp. 108064

PDF Code DOI

Journal

Entropy K-means clustering with feature reduction under unknown number of clusters

Sinaga, Kristina P., Hussain, Ishtiaq, and Yang, Miin-Shen

IEEE Access

Vol. 9, pp. 67736–67751

PDF Code DOI

Conference

Analytics-Based on Classification and Clustering Methods for Local Community Empowerment in Indonesia

Yuniati, Dyah and Sinaga, Kristina Pestaria

International Conference on Soft Computing in Data Science

pp. 133–145

PDF DOI

Conference

Telecommunication analytics based on customer segmentation using unsupervised algorithms

Wibowo, Henwy and Sinaga, Kristina Pestaria

2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS)

pp. 1–6

PDF Code DOI

Conference

Machine learning approaches for marketing campaign in portuguese banks

Alexandra, Jennifer and Sinaga, Kristina Pestaria

2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS)

pp. 1–6

PDF Code DOI

2020

Journal

Unsupervised K-means clustering algorithm

Sinaga, Kristina P. and Yang, Miin-Shen

IEEE Access

Vol. 8, pp. 80716–80727

PDF Code DOI 2000+ citations

2019

Journal

A feature-reduction multi-view k-means clustering algorithm

Yang, Miin-Shen and Sinaga, Kristina P.

IEEE Access

Vol. 7, pp. 114472–114486

PDF Code DOI 130+ citations

2018

Conference

Modified relational mountain clustering method

Sinaga, Kristina P., Hsieh, June-Nan, Benjamin, Josephine BM, and Yang, Miin-Shen

Artificial Intelligence and Soft Computing: 17th International Conference, ICAISC 2018

pp. 690–701

PDF Code DOI

2016

Journal

Spatial Variation in Infant Mortality with Geographically Weighted Poisson Regression (GWPR) Approach

Sinaga, Kristina Pestaria, Hutahaean, Manuntun, and Gea, Petrus

Journal Publication

PDF DOI

2015

Journal

Poverty data modeling in north Sumatera province using geographically weighted regression (GWR) method

Sinaga, Kristina Pestaria

Journal Publication

PDF DOI

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