Fig. 1From: DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological dataThe proposed hierarchical framework for unsupervised clustering of MSI data with local feature domain adaptation. For each ROI, an analysis was performed on whether it contains any implicit structures. If structures were present, molecular segmentation was continued recursively for each cluster/subclusterBack to article page