DC Programming Algorithm for Clusterwise Linear $${{\varvec{L}}}_\mathbf{1}$$ Regression
Author:
Funder
Australian Research Council
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research
Link
http://link.springer.com/article/10.1007/s40305-017-0151-9/fulltext.html
Reference26 articles.
1. Preda, C., Saporta, G.: Clusterwise PLS regression on a stochastic process. Comput. Stat. Data Anal. 49, 99–108 (2005)
2. Wedel, M., Kistemaker, C.: Consumer benefit segmentation using clusterwise linear regression. Int. J. Res. Mark. 6(1), 45–59 (1989)
3. Späth, H.: Algorithm 39: clusterwise linear regression. Computing 22, 367–373 (1979)
4. Gaffney, S., Smyth, P.: Trajectory clustering using mixtures of regression models. In: Chaudhuri, S., Madigan, D. (eds.) Proceedings of the ACM Conference on Knowledge Discovery and Data Mining, pp. 63–72 (1999)
5. DeSarbo, W., Cron, W.: A maximum likelihood methodology for clusterwise linear regression. J. Classif. 5(2), 249–282 (1988)
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