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clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational ….e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of …
Persistent link: https://www.econbiz.de/10009438102
Due to the change in attitudes and lifestyles, people expect to find new partners and friends via various ways now-a-days. Online dating networks create a network for people to meet each other and allow making contact with different objectives of developing a personal, romantic or sexual...
Persistent link: https://www.econbiz.de/10009438155
-means clustering were simulated within the the Farm-level Economic Model (FEM) to determine the economic impacts of four manure …
Persistent link: https://www.econbiz.de/10009443280
Using estimation of demand for the George Washington/Jefferson NationalForest as a case study, it is shown that in a stratified/clustered on-sitesample, latent heterogeneity needs to be accounted for twice: first to accountfor dispersion in the data caused by unobservability of the process that...
Persistent link: https://www.econbiz.de/10009444348
submarkets defined by statistical clustering techniques. This finding provided useful implications for housing price prediction …
Persistent link: https://www.econbiz.de/10009444986
This study proposes one plausible procedure to address two methodological issues,which are common in micro- and macro- econometric analyses, for the full realization ofresearch potential brought by recently available high dimensional data. To address the issue ofhow to infer the causal structure...
Persistent link: https://www.econbiz.de/10009465107
, data mining method clustering was undertaken to identify the customersegments. Two different clustering methods were tested …
Persistent link: https://www.econbiz.de/10009467253
model (GPPM) in which the partition process is predictor-dependent. The GPPM generalizes DP clustering to relax the …
Persistent link: https://www.econbiz.de/10009475421
Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction...
Persistent link: https://www.econbiz.de/10009475695
dissertation, we propose a robust clustering method based on the EM algorithm applied to a modified multivariate normal density …
Persistent link: https://www.econbiz.de/10009477900