Online mixture-based clustering for high dimensional count data using Neerchal–Morel distribution-Reference-Cited by-同舟云学术

Online mixture-based clustering for high dimensional count data using Neerchal–Morel distribution

Published:2021-08 Issue: Volume:225 Page:107051
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Bregu Ornela^ORCID,Zamzami Nuha,Bouguila Nizar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference47 articles.

1. Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation;Tirunillai;J. Mark. Res.,2014

2. Big data analytics in healthcare: promise and potential;Raghupathi;Health Inf. Sci. Syst.,2014

3. Text classification from labeled and unlabeled documents using EM;Nigam;Mach. Learn.,2000

4. G. Csurka, C. Dance, L. Fan, J. Willamowski, C. Bray, Visual categorization with bags of keypoints, in: Workshop on Statistical Learning in Computer Vision, ECCV, vol. 1, Prague, 2004, pp. 1–2.

5. Count data modeling and classification using finite mixtures of distributions;Bouguila;IEEE Trans. Neural Netw.,2010

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