Comparison of Dimensionality Reduction Methods for Dendritic Spine Analysis

A comparison of dimensionality reduction methods applied to dendritic spine analysis. The dataset is 5.5 KB in size, authored by Uma Shashi Sharma, and was last updated on June 2, 2026. It is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Benchmarking dimensionality reduction algorithms based on performance metrics for spine analysis.
• Selecting appropriate feature extraction methods for morphological classification tasks.
• Reproducing comparative analysis results for methodological validation.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Explicitly licensed as CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-06-02 17:40:30; freshness should be verified.