OPTICS K-Xi Density-Based Clustering
Overview
Density-based clustering methods are well adapted to the clustering of high-dimensional data and enable the discovery of core groups of various shapes despite large amounts of noise. This package provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters. The vignette first introduces density-based algorithms with simulated datasets, then presents and evaluates the k-Xi cluster extraction method. Finally, the models comparison framework is described and experimented on 2 genetic datasets to identify groups and their discriminating features. The k-Xi algorithm is a novel OPTICS cluster extraction method that specifies directly the number of clusters and does not require fine-tuning of the steepness parameter as the OPTICS Xi method. Combined with a framework that compares models with varying parameters, the OPTICS k-Xi method can identify groups in noisy datasets with unknown number of clusters. Results on summarized genetic data of 1,200 patients are in Charlon T. (2019) doi:10.13097/archive-ouverte/unige:161795. A short video tutorial can be found at https://www.youtube.com/watch?v=P2XAjqI5Lc4/.
- Fix tests
From NEWS.md in the release
Install
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- ERROR12 OK, 1 ERROR2026-06-10
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Documentation
- Help pages
- 29
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 33%
- Documented parameters
- 95%
- Return-value docs
- 95%
- Help pages citing references
- 0%
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Repository
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Dependencies
Installing opticskxi adds 18 packages (8 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.
Code & Tests
Datasets
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- 1.2.2Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.2.1
- 1.2.02025-02-26 · diff ↗ ·
removed 3 exports
print_table, psych_kxi_ensemble_models, psych_kxi_pipelineadded 5 exports
cosine_simi, dist_matrix, norm_inprod, print_vignette_table, stddev_mean - 1.1.02024-12-09 · diff ↗ ·
added 4 exports
ensemble_metrics, ensemble_models, psych_kxi_ensemble_models, psych_kxi_pipeline - RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.12019-07-19
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-07-19
- Total releases
- 5 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 661 KB / 4 files
- Download size
- 3.1 MB
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