方法证据记录
Criminal Trajectory Clustering
Criminal trajectory clustering is the broad family of methods that group individuals by the shape of their longitudinal offending curves. Rather than committing to a single statistical model, it spans algorithmic approaches — k-means for longitudinal data, distance-based clustering of trajectory shapes, and likelihood-based latent class growth — and treats the choice of clustering method itself as a modeling decision validated by fit and stability criteria.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Clustering of Criminal Offending Trajectories
分类方法记录 · regression-model / criminology
- Nagin, D. S. (2005). Group-Based Modeling of Development. Harvard University Press. · ISBN 9780674016866
- Genolini, C., & Falissard, B. (2010). KmL: k-means for longitudinal data. Computational Statistics, 25(2), 317–328. · DOI 10.1007/s00180-009-0178-4
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