Figure 2
From: Exploring supervised and unsupervised methods to detect topics in biomedical text
Topic clustering in OMIM. The cost of detection of Single-pass (A) and Group-wise-average (B) with different features; namely, semantic types only (S); combined semantic types and MeSH terms (S+M); semantic types with MeSH terms and title (S+M+T); all four features (S+M+T+A); the MeSH terms alone (M); and combined title and abstract (T+A). (C) Comparison of the cost of detection between single-pass and group-wise-average with MeSH terms alone as features and similarity threshold τ = 0.5.