A comparison of two machine learning models
Comparing the potential used case of Gaussian Mixture Fuzzy C means (GMM-FCM) and Spectral Clustering Unsupervised Machine Learning Models in MRI brain tumour detection
von Jheirom Pablo
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Beschreibung
Essay from the year 2026 in the subject Computer Sciences - Artificial Intelligence, , course: Cyber Security, language: English, abstract: Brain tumours are seen as critical health challenges that require accurate and early detection for effective treatment. An evaluation of two unsupervised machine learning models Gaussian mixture Fuzzy C Means ensemble model and Spectral Clustering to see the potential use case for potential medical applications. Both models evaluated 800 samples dataset of MRI images using 80 percent of data as training with 20 percent left as testing. The Gaussian Mixture - Fuzzy C Means showed a perfect prediction of all gliomas as opposed to Spectral encountering a catastrophic failure in the “No Tumour” class where all were misclassified as other types of tumours.
Produktdetails
| ISBN | 9783389178768 |
| Verlag | GRIN Verlag |
| Erscheinungsdatum | 23.02.2026 |
| Sprache | Englisch |