There is growing literature in macroeconomics, especially on business cycle synchronization, employing different methods of time series clustering. However, even as an unsupervised learning method, this technique requires making choices that are nontrivially influenced by the nature of the data...

The data mining technique of time series clustering is well established in many fields. However, as an unsupervised learning method, it requires making choices that are nontrivially influenced by the nature of the data involved. The aim of this paper is to verify usefulness of the time series...

This study examines how different contextual, structural, and functioning characteristics of clusters influence cluster performance. Hereto, we develop a conceptual framework that identifies potential influencing factors, validate it statistically and estimate the impact of the variables on...

This paper aims to listen and understand the voices of the self-employed workers of a shrinking traditional iron kitchen utensil making microenterprise cluster based at Patardih village of Deoghar district in state of Jharkhand in India. The point of view of these self-employed workers have been...

Purpose – The article aims at discovering classes and clusters of EU member-statesconsidering their levels of economic development and gender equality to foster the enhance-ment of EU cohesion policy.Research methodology – The methodology includes the grouping by two parameters,...

Purpose - The article aims at discovering classes and clusters of EU member-states considering their levels of economic development and gender equality to foster the enhancement of EU cohesion policy. Research methodology - The methodology includes the grouping by two parameters, economic...

This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using information from five Varieties of Democracy indices. K-means country clusters are similar but not entirely identical to both k-medians clusters and arbitrary groups formed using...