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| J.G. Postaire, R.D. Zhang, C. Lecocq-Botte, "Cluster Analysis by Binary Morphology," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 2, pp. 170-180, February, 1993. | |||
| BibTex | x | ||
| @article{ 10.1109/34.192490, author = {J.G. Postaire and R.D. Zhang and C. Lecocq-Botte}, title = {Cluster Analysis by Binary Morphology}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {15}, number = {2}, issn = {0162-8828}, year = {1993}, pages = {170-180}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.192490}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Cluster Analysis by Binary Morphology IS - 2 SN - 0162-8828 SP170 EP180 EPD - 170-180 A1 - J.G. Postaire, A1 - R.D. Zhang, A1 - C. Lecocq-Botte, PY - 1993 KW - binary morphology; unsupervised pattern classification; mathematical morphology operations; multidimensional observations; mathematical discrete binary set; well separated subsets; pattern recognition; set theory VL - 15 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
An approach to unsupervised pattern classification that is based on the use of mathematical morphology operations is developed. The way a set of multidimensional observations can be represented as a mathematical discrete binary set is shown. Clusters are then detected as well separated subsets by means of binary morphological transformations.
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