NMI Values for DLPFC and HBC: STESH Clustering Performance Metrics

Normalized Mutual Information (NMI) values for the DLPFC and HBC datasets, generated to evaluate the STESH spatial transcriptomics clustering method. The dataset was authored by Huihui Zhang and last updated on June 1, 2026. It is a small file (10.9 KB) stored in XLSX format.

Use Cases

• Benchmarking spatial transcriptomics clustering methods based on the reported NMI metric.
• Validating the performance of multi-view graph convolutional networks based on the described integration of expression, spatial, and histology features.
• Comparing clustering accuracy against ten state-of-the-art methods based on the adjusted Rand index, NMI, and Fowlkes-Mallows index results.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Provides a specific metric (NMI) for evaluating a published clustering method on two named datasets (DLPFC and HBC).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 10.9 KB file size suggests a very limited scope, likely containing summary results rather than raw data.

Provenance

Source

Huihui Zhang via figshare.

Collection Method

Likely contains derived metrics from evaluating the STESH clustering algorithm.

Freshness

Last updated 2026-06-01 17:40:31; freshness should be verified.