The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
KmL: k-means for longitudinal data
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Least squares quantization in PCM
Lloyd, S. (1982) · IEEE Transactions on Information Theory · doi:10.1109/tit.1982.1056489 · Cited by 15,836
Finding groups in data: an introduction to cluster analysis
(1991) · Choice Reviews Online · doi:10.5860/choice.28-4558 · Cited by 10,474
Everitt, B. J., Landau, S., & Leese, M. (1974) · Cited by 9,168
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344
(1975) · CERN Document Server (European Organization for Nuclear Research) · Cited by 5,958
A General Coefficient of Similarity and Some of Its Properties
Gower, J. C. (1971) · Biometrics · doi:10.2307/2528823 · Cited by 5,303
(2006) · Technometrics · doi:10.1198/tech.2006.s417 · Cited by 4,950
A dendrite method for cluster analysis
Caliński, T., & Harabasz, J. (1974) · Communications in Statistics · doi:10.1080/03610927408827101 · Cited by 4,480
Cited by
Woo, S. E., Jebb, A. T., Tay, L., & Parrigon, S. (2018) · Organizational Research Methods · doi:10.1177/1094428117752467 · Cited by 308
Pingault, J.-B., Tremblay, R. E., Vitaro, F., Carbonneau, R., Genolini, C., Falissard, B., & Côté, S. M. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.10121732 · Cited by 244
Self-citationCopy Mean: A New Method to Impute Intermittent Missing Values in Longitudinal Studies
Genolini, C., Écochard, R., & Jacqmin-Gadda, H. (2013) · Open Journal of Statistics · doi:10.4236/ojs.2013.34a004 · Cited by 83
Self-citationCopyMean: A new method to predict monotone missing values in longitudinal studies
Genolini, C., Lacombe, A., Écochard, R., & Subtil, F. (2016) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.04.010 · Cited by 52
Self-citationMurakami, A. (2014) · Apollo - University of Cambridge Repository · doi:10.17863/cam.16509 · Cited by 20
Metadata
- Authors
- Genolini, C., & Falissard, B.
- Venue
- Computational Statistics
- Published
- 2009-11-28
- Volume
- 25
- Issue
- 2
- Pages
- 317-328
- ISSN
- 0943-4062 (ISSN-L)
- 1613-9658
- OpenAlex
- W1974198014
- Cited by
- 275
- References
- 43
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: KmL: k-means for longitudinal data. https://app.cochat.ai/papers/10.1007/s00180-009-0178-4
- The paper
- Genolini, C., & Falissard, B. (2010). KmL: k-means for longitudinal data. Computational Statistics. https://doi.org/10.1007/s00180-009-0178-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
