Visualization of features of a series of measurements with one-dimensional cellular structure
Machine Learning
2012-05-28 v2
Abstract
This paper describes the method of visualization of periodic constituents and instability areas in series of measurements, being based on the algorithm of smoothing out and concept of one-dimensional cellular automata. A method can be used at the analysis of temporal series, related to the volumes of thematic publications in web-space.
Keywords
Cite
@article{arxiv.1205.4234,
title = {Visualization of features of a series of measurements with one-dimensional cellular structure},
author = {D. V. Lande},
journal= {arXiv preprint arXiv:1205.4234},
year = {2012}
}
Comments
4 pages, russian language