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| ASCII Text | x | ||
| K. Fukunaga, R.D. Short, "Generalized Clustering for Problem Localization," IEEE Transactions on Computers, vol. 27, no. 2, pp. 176-181, February, 1978. | |||
| BibTex | x | ||
| @article{ 10.1109/TC.1978.1675056, author = {K. Fukunaga and R.D. Short}, title = {Generalized Clustering for Problem Localization}, journal ={IEEE Transactions on Computers}, volume = {27}, number = {2}, issn = {0018-9340}, year = {1978}, pages = {176-181}, doi = {http://doi.ieeecomputersociety.org/10.1109/TC.1978.1675056}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Computers TI - Generalized Clustering for Problem Localization IS - 2 SN - 0018-9340 SP176 EP181 EPD - 176-181 A1 - K. Fukunaga, A1 - R.D. Short, PY - 1978 KW - problem reduction or localization KW - Classification KW - clustering KW - density estimation KW - pattern recognition VL - 27 JA - IEEE Transactions on Computers ER - | |||
The general procedure of conventional clustering is modified for various applications involving problem localization. This modification introduces the concept of clustering criteria which are used for partitioning a training set, and depend upon certain a priori information with regards to the training set. Also, the need of a structure or a mathematical form for the partition boundaries arises naturally from the need to process unknown samples. The general procedure is discussed in detail for applications of piecewise linear classifier design and piecewise linear density estimation. Experimental results are presented for both applications.
Index Terms:
problem reduction or localization, Classification, clustering, density estimation, pattern recognition
Citation:
K. Fukunaga, R.D. Short, "Generalized Clustering for Problem Localization," IEEE Transactions on Computers, vol. 27, no. 2, pp. 176-181, Feb. 1978, doi:10.1109/TC.1978.1675056
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