18 citations · 18 across the 3 of their papers we have counts for
3 papers
Unmixing highly mixed grain size distribution data via maximum volume constrained end member analysis
Qianqian Qi, Zhongming Chen, Peter G. M. van der Heijden
End member analysis (EMA) unmixes grain size distribution (GSD) data into a mixture of end members (EMs), thus helping understand sediment provenance and depositional regimes and p…
Neural Networks for Latent Budget Analysis of Compositional Data
Zhenwei Yang, Ayoub Bagheri, P. G. M van der Heijden
Compositional data are non-negative data collected in a rectangular matrix with a constant row sum. Due to the non-negativity the focus is on conditional proportions that add up to…
A comparison of latent semantic analysis and correspondence analysis of document-term matrices
Qianqian Qi, David J. Hessen, Tejaswini Deoskar +1
Latent semantic analysis (LSA) and correspondence analysis (CA) are two techniques that use a singular value decomposition (SVD) for dimensionality reduction. LSA has been extensiv…