Improved process for use of a simplex growing algorithm for endmember extraction

A recent paper by Chang develops 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 endmembers $p$ , how to design a better endmember extraction algorithm, and how to use an effective technique to perform dimensionality reduction.