A Fully-Unsupervised Possibilistic C-Means Clustering Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2884956
Abstract: In 1993, Krishnapuram and Keller first proposed possibilistic C-means (PCM) clustering by relaxing the constraint in fuzzy C-means of which memberships for a data point across classes sum to 1. The PCM algorithm tends to… read more here.
Keywords: number clusters; algorithm; possibilistic means; pcm algorithm ... See more keywords
Comments on “TLPCM: Transfer Learning Possibilistic C-Means”: Errata and Observations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3058690
Abstract: The purpose of this article is twofold. First, and foremost, it fixes an error that somehow made it through all the reviewing, both by the authors and the referees. Second, it provides insights into the… read more here.
Keywords: tlpcm transfer; comments tlpcm; learning possibilistic; transfer learning ... See more keywords
Deep Possibilistic C-means Clustering Algorithm on Medical Datasets
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DOI: 10.1155/2022/3469979
Abstract: In the past, the possibilistic C-means clustering algorithm (PCM) has proven its superiority on various medical datasets by overcoming the unstable clustering effect caused by both the hard division of traditional hard clustering models and… read more here.
Keywords: medical datasets; clustering algorithm; deep possibilistic; means clustering ... See more keywords
Comparison Support Vector Machine and Fuzzy Possibilistic C-Means based on the kernel for Knee Osteoarthritis data Classification
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DOI: 10.18517/ijaseit.9.6.9243
Abstract: Osteoarthritis is a chronic joint disease that occurs when the protective cartilage that cushions the ends of bones wears down over time and fails to be repaired. The common form of the disease is knee… read more here.
Keywords: machine; possibilistic means; fuzzy possibilistic; support vector ... See more keywords