3 citations · 3 across the 5 of their papers we have counts for
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cs.LG2026
Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection
Nassir Mohammad
This paper introduces a semi-supervised clustering framework grounded in the statistical duality between grouping principles and anomaly detection. We address the challenge of robu…
cs.LG2023
A Computational Theory and Semi-Supervised Algorithm for Clustering
Nassir Mohammad
A computational theory for clustering and a semi-supervised clustering algorithm is presented. Clustering is defined to be the obtainment of groupings of data such that each group…
cs.LG2022
A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data
Nassir Mohammad
A fundamental problem in the field of unsupervised machine learning is the detection of anomalies corresponding to rare and unusual observations of interest; reasons include for th…