A new cell group clustering algorithm based on validation & correction mechanism
B Liang, J Cai, H Yang - Expert Systems with Applications, 2022 - Elsevier
Clustering used to discover hidden patterns in unlabeled data sets is an important task in
data mining. Therefore, clustering validation applied to evaluating the clustering results has …
data mining. Therefore, clustering validation applied to evaluating the clustering results has …
Predictive analytics on big data-an overview
G Nagarajan, DB LD - Informatica, 2019 - informatica.si
Big data generated in different domains and industries are voluminous and the velocity at
which they are generated is pretty high. While research works carried out continuously to …
which they are generated is pretty high. While research works carried out continuously to …
Greedy clustering-based monthly electricity consumption forecasting model
Accurate monthly electricity consumption forecasting is indispensable for electricity retailers
to mitigate trading risks in the electricity market. Clustering-based forecasting method are …
to mitigate trading risks in the electricity market. Clustering-based forecasting method are …
Are Easy Data Easy (for K-Means)
MA Kłopotek - arXiv preprint arXiv:2308.01926, 2023 - arxiv.org
This paper investigates the capability of correctly recovering well-separated clusters by
various brands of the $ k $-means algorithm. The concept of well-separatedness used here …
various brands of the $ k $-means algorithm. The concept of well-separatedness used here …