In this paper we use the concepts of information theory to analyze the time
series obtained from complex systems. The procedure discussed here can be
applied to quantify the regularity of chaotic time series, although it migh
t not certify chaos. The main idea is to map the time series into a finite
sequence of symbols using an efficient partitioning technique, and quantify
the regularity of the resulting sequence by a chosen complexity measure. A
proper partitioning technique is essential for ally meaningful analysis of
the resulting sequence. We have used a clustering technique to partition t
he time series into a finite sequence and the Lempel-Ziv complexity measure
to quantify the regularity of this sequence.