NDPD : an improved initial centroid method of partitional clustering for big data mining
Kamlesh Kumar Pandey and Diwakar Shukla
| Year of publication: |
2023
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|---|---|
| Authors: | Pandey, Kamlesh Kumar ; Shukla, Diwakar |
| Published in: |
Journal of advances in management research : JAMR. - Bingley : Emerald, ISSN 2049-3207, ZDB-ID 2511485-2. - Vol. 20.2023, 1, p. 1-34
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| Subject: | Big data clustering | Business data clustering | Convergence speed | Initial centroid algorithm | K-means | K-means++ | Normal distribuation | Probability density | Sorting heuristic | Systematic sampling | Data Mining | Data mining | Big Data | Big data | Clusteranalyse | Cluster analysis | Regionales Cluster | Regional cluster | Algorithmus | Algorithm | Stichprobenerhebung | Sampling | Theorie | Theory |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/JAMR-07-2021-0242 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014304993