A recent paper by Changdevelops a new algorithm, called the simplex growing algorithm, which has shown promise in endmember extraction. There is an erroneous description made for one of synthetic image experiments. While making a simple correction would have sufficed, a series of studies has led to interesting and intriguing results on how to determine an appropriate number of endmembersp, how to design a better endmember extraction algorithm, and how to use an effective technique to perform dimensionality reduction.
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Wu et al. (2009) studied this question.
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