geocmeans: An R package for spatial fuzzyc-means
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Unsupervised classification methods like k-means or the Hierarchical Cluster Analysis (HCA) are widely used in geography even though they are not well suited for spatial data [Romary et al. (2015);] because they do not consider space.Yet, recent development has been proposed to include the geographical dimension into clustering.As an example, ClustGeo (Chavent et al., 2018) is a spatial extension of the HAC, available in the R package with the same name.We present here the R package geocmeans, proposing several spatial extensions of the Fuzzy C-Means (FCM) algorithm to complete this growing toolbox with a fuzzy approach.The package provides also several helper functions to assess and compare quality of classifications, select appropriate hyperparameters, and interpret the final groups.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it