References
- Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J. (1984). Classification and Regression Trees. New York: Wadsworth.
- Charlton, M., Brunsdon, C., Demsar, U., Harris, P., Fotheringham, S. (2010). Principal component analysis: from global to local. 13th AGILE Int. Conf. Geograph. Inform. Sci. Guimarães, Portugal.
- Cheng, Y. (1995). Mean shift, mode seeking and clustering. IEEE Trans. Pattern Anal. Machine Intell. 17:790–799.
- E. Diday et Collaborateurs (1979). Optimisation en Classification Automatique. Le Chesnay, France: INRIA.
- Einbeck, J., Evers, L. (2010). LPCM: Local principal curve methods. R package version 0.41-6.
- Einbeck, J., Evers, L., Hinchliff, K. (2010). Data compression and regression based on local principal curves. In: Fink, A., Lausen, B., Seidel, W., Ultsch, A. Eds., Advances in Data Analysis, Data Handling and Business Intelligence. Heidelberg, Springer, pp. 701–712.
- Einbeck, J., Tutz, G., Evers, L. (2005). Local principal curves. Statist. Comput. 15:301–313.
- Gorban, A., Kégl, B., Wunsch, D., Zinovyev, A. (2008). Principal Manifolds for Data Visualization and Dimension Reduction. Heidelberg: Springer.
- Hastie, T., Tibshirani, R., Friedman, J. (2001). The Elements of Statistical Learning. New York: Springer.
- Hawkins, D.M. (1995). FIRM Formal Inference-based Recursive Modeling. St. Paul, MN: University of Minnesota.
- Liu, Z.-Y., Chiu, K.-C., Xu, L. (2003). Improved system for object detection and star/galaxy classification via local subspace analysis. Neur. Netwo. 16:437–451.
- Phillips, A.W. (1958). The relation between unemployment and the rate of change of money wage rates in the United Kingdom. Economica 25:283–299.
- Ruppert, D., Wand, M.P. (1994). Multivariate locally weighted least squares regression. Ann. Statist. 22:1346–1370.
- Schaal, S., Vijayakumar, S., Atkeson, C. (1998). Local dimensionality reduction. In: Jordan, M., Kearns, M., Solla, S. Eds., Advances in Neural Information Processing Systems 10. Cambridge, MA: MIT Press.
- Schölkopf, B., Smola, A. (1998). Nonlinear component analysis as a kernel eigenvalue problem. Neur. Computat. 10:1299–1319.
- Wand, M.P., Jones, M.C. (1993). Comparison of smoothing parametrizations in bivariate kernel density estimation. J. Amer. Statist. Assoc. 88:520–528.
- Wang, L., Assadi, A. H., Spalding, E. P. (2008). Tracing branched curvilinear structures with a novel adaptive local pca algorithm. Proc. 2008 Int. Conf. Image Process., Comput. Vision Patt. Recogn., Athens, GA: CSREA Press, 17:557–563.
- Zayed, M., Einbeck, J. (2010). Constructing economic summary indexes via principal curves. COMPSTAT 2010 Proceedings (e-book), pp. 1709–1716.