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Comparison · Infra & APIs

fdacluster vs survivoR

A side-by-side editorial comparison of fdacluster and survivoR — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

fdacluster vs survivoR: at a glance

FeaturefdaclustersurvivoR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesfunctional-data-analysis, clustering, r-package, rcppdata-package, r-package, television, reality-tv
Last editorial update52m ago1h ago
WebsiteVisit →Visit →

What is fdacluster?

Functional data clustering grew from one algorithm into a comparable suite

fdacluster clusters functional data while separating amplitude from phase variation, aligning curves as part of the clustering rather than before it. The algorithm set covers k-means, hierarchical clustering and DBSCAN, all producing a common caps result object so runs can be compared directly. Version 0.4.0 tightened the interface with is_domain_interval and transformation arguments describing the input data, added compatibility checking between incompatible option combinations, and split the L2 and normalized L2 distances into separate C++ classes to enforce that plain L2 cannot be combined with dilation or affine warping it is not invariant to.

Read the full fdacluster trajectory →

What is survivoR?

A Survivor data package that keeps turning a TV show into a relational database

survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.

Read the full survivoR trajectory →

fdacluster vs survivoR: editorial side-by-side

F
fdacluster
INFRA · APIS
0.0

Functional data clustering grew from one algorithm into a comparable suite

◆ Current state

fdacluster clusters functional data while separating amplitude from phase variation, aligning curves as part of the clustering rather than before it. The algorithm set covers k-means, hierarchical clustering and DBSCAN, all producing a common caps result object so runs can be compared directly. Version 0.4.0 tightened the interface with is_domain_interval and transformation arguments describing the input data, added compatibility checking between incompatible option combinations, and split the L2 and normalized L2 distances into separate C++ classes to enforce that plain L2 cannot be combined with dilation or affine warping it is not invariant to.

◆ Where it's heading

The trajectory runs from method implementation toward guardrails and portability. Early releases added capability; recent ones prevent misuse and reduce weight - dplyr, forcats, tidyr and purrr removed in 0.4.0, furrr swapped for future.apply - while 0.4.2 is entirely C++ correctness, replacing Armadillo's whole-object finiteness check with scalar std::isfinite and fixing an integer overflow in linear index computation that broke large datasets. Cadence is roughly one release a year.

◆ Prediction

Given that the last two releases were dependency reduction and numerical correctness rather than method work, expect the next to continue in that vein unless a new clustering algorithm is contributed.

S
survivoR
INFRA · APIS
0.0

A Survivor data package that keeps turning a TV show into a relational database

◆ Current state

survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.

◆ Where it's heading

The work is less about adding seasons than about making the tables join cleanly. 2.3.1 rebuilt challenge_description and challenge_results around a shared challenge_id, added challenge characteristic flags and result notes, and put logical finalist, winner and jury flags on castaways. Since then the pattern repeats at smaller scale: boot_order as its own table, season_name deprecated everywhere except season_summary, castaways cleaned so people booted twice appear once. Derived analytical columns are being separated from raw records rather than mixed into them.

◆ Prediction

Expect the next release to add the current season's data on the same broadcast-following cadence, with any structural work continuing to split derived scores out of the raw tables.

Alternatives to fdacluster and survivoR

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either fdacluster or survivoR.

See all fdacluster alternatives → · See all survivoR alternatives →

Recent activity from fdacluster and survivoR

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agosurvivoRUS50 and AU12 land, castaway scores split into three tiers
  2. 7mo agofdaclusterInteger overflow fixed for large datasets, C++ finiteness checks corrected
  3. 7mo agosurvivoRUS49 data completed and season 50 cast added
  4. 11mo agosurvivoRSurvivor Australia vs. The World added
  5. 1y agosurvivoRboot_order table added and castaways deduplicated
  6. 1y agofdaclusterParallel worker setup and an acronym correction
  7. 1y agofdaclusterInput description arguments and enforced distance-warping compatibility
  8. 2y agosurvivoRComplete AU09 data reaches CRAN
  9. 2y agosurvivoRChallenge tables rebuilt around a shared linking key
  10. 3y agofdaclusterMedian centroids and centroids defined on unioned grids
  11. 3y agofdaclusterNamespace notation and optional dependency guards
  12. 3y agofdaclusterHierarchical clustering, DBSCAN and a shared result class arrive together

Frequently asked questions

What is the difference between fdacluster and survivoR?

Both compete on the same themes — r-package — within Infra & APIs. fdacluster and survivoR are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is fdacluster better than survivoR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fdacluster and survivoR are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to fdacluster?

Top fdacluster alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "fdacluster alternatives" section above for the current picks, or visit /alternatives/fdacluster for the full list with editorial commentary on each.

What are the best alternatives to survivoR?

Top survivoR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "survivoR alternatives" section above for the current picks, or visit /alternatives/survivor for the full list with editorial commentary on each.