8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Improving clustering quality evaluation in noisy Gaussian mixtures
Renato Cordeiro de Amorim, Vladimir Makarenkov
Clustering is a well-established technique in machine learning and data analysis, widely used across various domains. Cluster validity indices, such as the Average Silhouette Width…
cs.CR2020★ 8 cited
Identifying meaningful clusters in malware data
Renato Cordeiro de Amorim, Carlos David Lopez Ruiz
Finding meaningful clusters in drive-by-download malware data is a particularly difficult task. Malware data tends to contain overlapping clusters with wide variations of cardinali…