Temporal Metabolomic Clustering with Complex Window Analysis

Create an advanced SQL query that performs temporal clustering of metabolomic time-series data, supporting sliding window analysis with dynamic time warping. The solution must handle irregular time intervals, detect statistically significant metabolic transitions, and generate a hierarchical clustering dendrogram. Implement performance optimizations for datasets with over 10,000 metabolites across multiple experimental conditions.