What are the Challenges in Using Cluster Analysis?
Despite its utility, cluster analysis in toxicology presents several challenges:
Data Quality: Poor quality data can lead to unreliable clusters. Ensuring accurate and consistent data collection and preprocessing is crucial. Choice of Algorithm: Different algorithms may produce different clustering results. Selecting the right algorithm requires understanding the dataset and the specific goals of the analysis. Interpretation: The results of cluster analysis need to be interpreted carefully, considering the biological relevance and potential confounding factors. Scalability: Large datasets can pose computational challenges, requiring efficient algorithms and sometimes high-performance computing resources.
