Rtsne: R Wrapper for Barnes-Hut t-SNE Implementation

Rtsne is an R package wrapper for the fast Barnes-Hut implementation of t-distributed Stochastic Neighbor Embedding (t-SNE) by Laurens van der Maaten. The package was authored by Jesse H. Krijthe. The dataset likely contains high-dimensional data suitable for dimensionality reduction via this t-SNE algorithm.

Use Cases

• Visualize high-dimensional data clusters based on the t-SNE embedding method.
• Reduce feature dimensions for downstream machine learning tasks based on the described algorithm.
• Compare embedding results from different parameterizations of the Barnes-Hut t-SNE implementation.

Strengths

• Provides access to a fast, established Barnes-Hut t-SNE algorithm implementation.
• Wrapper is authored by a named individual, Jesse H. Krijthe.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jesse H. Krijthe (author), wrapping implementation by Laurens van der Maaten.

Collection Method

Software package wrapper for an existing algorithm implementation.

Time Range

Temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.