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It is difficult to extract grassland accurately by traditional classification methods, such as supervised method based on pixels or objects. This paper proposed a new method combing the multi-level se...
This study considers the multivariate segmentation procedure under the assumption of the multivariate Gaussian mixture. Jensen-Shannon divergence between two multivariate Gaussian distributions is emp...
This study conducts a comprehensive analysis of time series segmentation on the Japanese stock prices listed on the first section of the Tokyo Stock Exchange during the period from January 4, 2000 to ...
This paper investigates the role of the state in the liberalisation of the banking industry in China and the implications for the conventional convergence thesis of market segmentation and financial e...
This paper looks at the use of market segmentation as a tool for improving customer satisfaction in insurance service delivery. Insurance companies are always seeking alternative ways to improve the l...
We introduce an algorithm for the segmentation of a class of regime switching processes. The segmentation algorithm is a non parametric statistical method able to identify the regimes (patches) of th...
The main purpose of this paper is to investigate the opportunities for further expansion in the segment of the functional food as highly innovative products based on market segmentation done from the ...

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