Search Results - subject:"k means algorithm"

Identification and estimation in panel models with overspecified number of groups

Liu, Ruiqi; Schick, Anton; Shang, Zuofeng; Zhang, Yonghui; … - 2018 - This version: February 11, 2018

Persistent link: https://www.econbiz.de/10011891577

Spatially weighted graph theory-based approach for monitoring faults in 3D topographic surfaces

Alqahtani, Mejdal A.; Jeong, Myong K.; Elsayed, Elsayed A. - In: International journal of production research 59 (2021) 21, pp. 6382-6399

Persistent link: https://www.econbiz.de/10012652741

Intelligent hybrid model for financial crisis prediction using machine learning techniques

Uthayakumar, J.; Metawa, Noura; Shankar, K.; … - In: Information systems and e-business management : ISeB 18 (2020) 4, pp. 617-645

Persistent link: https://www.econbiz.de/10012416468

Identification and estimation in panel models with overspecified number of groups

Liu, Ruiqi; Shang, Zuofeng; Zhang, Yonghui; Zhou, Qiankun - In: Journal of econometrics 215 (2020) 2, pp. 574-590

Persistent link: https://www.econbiz.de/10012439568

Claims frequency modeling using telematics car driving data

Gao, Guangyuan; Meng, Shengwang; Wüthrich, Mario V. - In: Scandinavian actuarial journal 2019 (2019) 2, pp. 143-162

Persistent link: https://www.econbiz.de/10012194942

Identification model development for proactive response on irregular operations (IROPs)

Kim, Myeonghyeon; Choi, Yuri; Song, Ki-Han - In: Journal of air transport management 75 (2019), pp. 1-8

Persistent link: https://www.econbiz.de/10012112340

Advancing Malware Classification With an Evolving Clustering Method

Chen, Chia-Mei; Wang, Shi-Hao - In: International Journal of Applied Metaheuristic … 9 (2018) 3, pp. 1-12

ameliorated progressive classification that integrates static analysis and improved k-means algorithm. This proposed …

Persistent link: https://www.econbiz.de/10012042968

Machine learning core inflation

Acosta, Marco A. - In: Economics letters 169 (2018), pp. 47-50

Persistent link: https://www.econbiz.de/10012019523

A Hybrid GSA-K-Mean Classifier Algorithm to Predict Diabetes Mellitus

Mishra, Brojo Kishore; Priyadarshini, Rojalina; Barik, … - In: International Journal of Applied Metaheuristic … 8 (2017) 4, pp. 99-112

-diabetic). In K-means algorithm instead of using random samples as initial cluster head, the optimized centroids from GSA are used … as the cluster centers. The inherent problem associated with k-means algorithm is the initial placement of cluster … predictor to correctly classify diabetic and non-diabetic people. The classifier is an amalgamation of the widely used K-means …

Persistent link: https://www.econbiz.de/10012042956

An intra-group variance based polarization measure

Palacios-González, Federico; García-Fernández, Rosa - Society for the Study of Economic Inequality - ECINEQ - 2011

In this paper, it will be shown that polarization not only depends on identification and alienation. There exist additional factors such as the share of power held by each of the groups and the number of groups that should be considered to compute it. Consistent with this idea and with the basic...

Persistent link: https://www.econbiz.de/10008789857