Search Results - subject:"number of clusters"

Economic preferences across generations and family clusters : a comment

Ertl, Antal; Horn, Dániel; Kiss, Hubert János - 2024

proximity measure that is crucial to cluster analysis. The second assesses the effect of varying the number of clusters on the …). However, divergent outcomes emerge with categorical variables (a logical choice given their nature) and a larger number of … clusters (3 or 4). We conclude that, although the cluster analysis by Chowdhury et al. (2022) is valid, its outcomes …

Persistent link: https://www.econbiz.de/10015672932

High-dimensional text datasets clustering algorithm based on cuckoo search and latent semantic indexing

Ishak-Boushaki, Saida; Kamel, Nadjet; Bendjeghaba, Omar - 2018

Persistent link: https://www.econbiz.de/10011932405

Wild Bootstrap Inference for Wildly Different Cluster Sizes

MacKinnon, James G.; Webb, Matthew D. - 2014

Persistent link: https://www.econbiz.de/10010368290

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Wild Bootstrap Inference for Wildly Different Cluster Sizes

MacKinnon, James G.; Webb, Matthew D. - 2015

Book / Working Paper

Albaum, Gerald S.; Kara, Ali; Carmone, Frank J. - 2017

Persistent link: https://www.econbiz.de/10011878160

Regional Clustering - zwischen Bremse und Motor?

Szyperski, Norbert - 2002

Persistent link: https://www.econbiz.de/10005845380

Multi-Attribute Utility Theory Based K-Means Clustering Applications

Ma, Jungmok - 2017

incorporating user preferences. Using MAUT, the decision maker's value structure for the number of clusters and other attributes can …One of major obstacles in the application of the k-means clustering algorithm is the selection of the number of … clusters k. The multi-attribute utility theory (MAUT)-based k-means clustering algorithm is proposed to tackle the problem by …

Persistent link: https://www.econbiz.de/10012044225