DRFC Model Validation: Statistical Metrics for Remote Sensing Datasets

Statistical validation metrics for the DRFC clustering algorithm and baseline models across two benchmark datasets. The 5.5 KB XLS file, authored by Xiao Fu and last updated in March 2026, is licensed for open use under CC-BY-4.0. It likely contains performance measures like accuracy for evaluating deep feature extraction models on remote sensing images.

Use Cases

• Benchmarking the DRFC clustering algorithm's performance against baseline models based on reported statistical metrics.
• Comparing model accuracy and computational efficiency for remote sensing tasks based on the described datasets.
• Validating deep feature extractors for image clustering based on the provided validation scores.

Strengths

• File size is a compact 5.5 KB, facilitating quick download and inspection.
• License is clearly defined as CC-BY-4.0, permitting broad reuse with attribution.
• Last update timestamp is precisely recorded as 2026-03-25 17:29:32.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Xiao Fu via figshare

Freshness

Last updated 2026-03-25 17:29:32; freshness should be verified.