“…The FCM clustering is a type of unsupervised machine learning algorithm that involves assigning all objects to different clusters, while objects belonging to the same cluster are as similar as possible. This technique has been applied recently for cardiac color ultrasound analysis [31], arrhythmia classification and detection [32,33]; and detection of Premature Ventricular Contractions (PVCs) [34]. The FCM clustering technique is normally applied where each object may belong to more than one cluster.…”