Fuzzy C-means clustering data with NaN values
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Hello, I am processing Landsat images. I would like to classify them using FCM clustering. In original Landsat GeoTIFF's, 0 means there is no data. I replaced them with NaN, this makes better results in some cases, in my application. Problem is - it seems, that FCM cannot work well with NaN's. If image contains them, resulting clusters all are NaN's. What I did - replaced them back to 0. Then it works. But question - is there a better solution? Cause I think, that those zeros might push my resulting clusters in the wrong direction.
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George Chrysanthidis
on 22 Feb 2022
Hello Maris, i am working with FCM as well and i have encountered the same problem. I know that it has been long since then, but did you find a better solution? What is your view on this matter after this long?
Any help would be appreciated, thanks in advance :)
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