Search Results - subject:"Partitioning Around Medoids"

Forecasting changes in stock prices on the basis of patterns identified with the use of data classification methods

Szanduła, Jacek - In: Folia oeconomica Stetinensia : FOS 14 (2014) 1, pp. 7-21

Persistent link: https://www.econbiz.de/10010518938

D’Urso, Pierpaolo; Cappelli, Carmela; Di Lallo, Dario; … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 9, pp. 2114-2129

representation of GARCH models and employs, in the framework of a partitioning around medoids algorithm, the classical autoregressive … metric. The second fuzzy clustering model, also based on partitioning around medoids algorithm, uses the Caiado distance, a …

Persistent link: https://www.econbiz.de/10010742321

A fast and recursive algorithm for clustering large datasets with k-medians

Cardot, Hervé; Cénac, Peggy; Monnez, Jean-Marie - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1434-1449

-means, trimmed k-means and PAM (partitioning around medoids). Finally, this new online clustering technique is illustrated on …

Persistent link: https://www.econbiz.de/10010577715

A coherence-based approach for the pattern recognition of time series

Maharaj, Elizabeth Ann; D’Urso, Pierpaolo - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 17, pp. 3516-3537

A pattern recognition approach based on the frequency domain measure of squared coherence is a useful approach to identify linearly related groupings of time series over different periods of time. It is considered in an application to identify similar patterns of the yearly rates of change in...

Persistent link: https://www.econbiz.de/10010872767