A Simple Rule for the Selection of Principal Components

By Dimitris Karlis, Gilbert Saporta, A. Spinakis. 2003

78 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/daf4e1c3690ba8c40b3b386bad11630428dfa61f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Jacinta Chan Phooi M’ng
2. M. Mehralizadeh

In Statistics and Probability

1. Jacinta Chan Phooi M’ng
2. M. Mehralizadeh

Citations in the corpus

• Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models (2016, methodology): “[32] suggest, the Kaiser criterion can be employed to select those components with matching eigenvalues larger than the mean of all the eigenvalues [54].”