Search Results - subject:"means algorithm"

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

Economic resilience of regions under crises : a study of the Australian economy

Courvisanos, Jerry; Jain, Ameeta; Mardaneh, Karim K. - In: Regional studies 50 (2016) 4, pp. 629-643

Persistent link: https://www.econbiz.de/10011708207

EU AND GLOBALIZATION: SOME STYLIZED FACTS

Alina, Castagna; Donatella, Furia; Domenico, Scamuffa - In: Annals of Faculty of Economics 2 (2009) 1, pp. 276-281

Most of the people all over the world claim that globalization is a result of dynamic interactions between economic, technological, social and political factors. The aim of this paper is to document some stylized facts on this phenomenon in order to take

Persistent link: https://www.econbiz.de/10008511845

A fuzzy ANP based weighted RFM model for customer segmentation in auto insurance sector

Ravasan, Ahad Zare; Mansouri, Taha - In: International journal of information systems in the … 7 (2015) 2, pp. 71-86

Persistent link: https://www.econbiz.de/10010490829

The structure of China's imports : a new framework

Wei, Hao; Chunming, Zhao - In: China & world economy 23 (2015) 5, pp. 85-103

Persistent link: https://www.econbiz.de/10011415673

A hybrid gray-based k-means and genetic algorithm for project selection

Eshlaghy, Abbas Toloie; Razi, Farshad Faezy - In: International journal of business information systems : … 18 (2015) 2, pp. 141-159

Persistent link: https://www.econbiz.de/10011326609

Artificial neural networks for short-term load forecasting in microgrids environment

Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; … - In: Energy 75 (2014) C, pp. 252-264

(SOM), a clustering of the previous partition via k-means algorithm, and finally demand forecasting for each cluster with a …

Persistent link: https://www.econbiz.de/10011055424

Earthquake magnitude prediction by adaptive neuro-fuzzy inference system (ANFIS) based on fuzzy C-means algorithm

Mirrashid, Masoomeh - In: Natural Hazards 74 (2014) 3, pp. 1577-1593

This paper investigates the prediction of future earthquakes that would occur with magnitude 5.5 or greater using adaptive neuro-fuzzy inference system (ANFIS). For this purpose, the earthquake data between 1950 and 2013 that had been recorded in the region with 2°E longitude and 4°N latitude...

Persistent link: https://www.econbiz.de/10011151592

On K-means algorithm with the use of Mahalanobis distances

Melnykov, Igor; Melnykov, Volodymyr - In: Statistics & Probability Letters 84 (2014) C, pp. 88-95

The K-means algorithm is commonly used with the Euclidean metric. While the use of Mahalanobis distances seems to be a …

Persistent link: https://www.econbiz.de/10010718814