most citedA self-organising eigenspace map for time series clustering

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

stat.ML2019★ 1 cited

A self-organising eigenspace map for time series clustering

Donya Rahmani, Damien Fay, Jacek Brodzki

This paper presents a novel time series clustering method, the self-organising eigenspace map (SOEM), based on a generalisation of the well-known self-organising feature map (SOFM)…

q-fin.ST2016

Forecasting time series with structural breaks with Singular Spectrum Analysis, using a general form of recurrent formula

Donya Rahmani, Saeed Heravi, Hossein Hassani +1

This study extends and evaluates the forecasting performance of the Singular Spectrum Analysis (SSA) technique using a general non-linear form for the re- current formula. In this…