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Research Article

A new interpoint distance-based clustering algorithm using kernel density estimation

Soumita ModakFaculty of Statistics, Department of Statistics, Faculty of Statistics, University of Calcutta, Basanti Devi College, Kolkata, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4919-143X
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Received 24 Feb 2022, Accepted 04 Feb 2023, Published online: 15 Feb 2023

Citations (5)

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Read on this site (3)

Soumita Modak. (2023) Pointwise norm-based clustering of data in arbitrary dimensional space. Communications in Statistics: Case Studies, Data Analysis and Applications 9:2, pages 121-134.
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Dr. Soumita Modak. Evaluation of the number of clusters in a data set using p-values from multiple tests of hypotheses. Communications in Statistics - Theory and Methods 0:0, pages 1-0.
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Soumita Modak. Determination of the number of clusters through logistic regression analysis. Journal of Applied Statistics 0:0, pages 1-20.
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Articles from other publishers (2)

Md Galal Uddin, Azizur Rahman, Firouzeh Rosa Taghikhah & Agnieszka I. Olbert. (2024) Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model. Water Research 255, pages 121499.
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Soumita Modak. (2023) Validity Index for Clustered Data in Non-negative Space. Calcutta Statistical Association Bulletin 75:1, pages 60-71.
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