Search Publications
Filter by:
Author(s): BONES, C. C.; ROMANI, L. A. S.; SOUSA, E. P. M. de Clustering data streams is an important task in data mining research. Recently, some algorithms have been proposed to cluster data streams as a whole, but just few of them deal with multivariate data... ... |
Author(s): OLIVEIRA, S. R. de M.; ZAÏANE, O. Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering without jeopardizing... ... |
Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE ABSTRACT - Brazilian agricultural production presents a high degree of spatial diversity, which challenges designing territorial public policies to promote sustainable development. This article propos... ... |
Author(s): RODRIGUES, D. A.; VENDRUSCULO, L. G.; ZOLIN, C. A.; LOPES, T. R. The acquisition of high resolution geographic data through laser technology has recently being expanded due to the development of LiDAR (Light Detection and Ranging) system. This technology?s growth i... ... |
Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. de O.; DOMPIERI, M. H. G.; MOURA, F. R. de This article compares the clustering of Brazilian municipalities according to their agricultural diversity using two approaches, one based on feature engineering and the other based on feature extract... ... |
Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. de O.; MAOURA, F. R. de; DOMPIERI, M. H. G.
|
Author(s): LEDO, C. A. da S.; ROQUE, R. L.; AMORIM, T. B.; GONÇALVES, Z. S.; FERREIRA, C. F.; AMORIM, E. P. Understanding the genetic variability in germplasm banks is essential to genetic breeding programs. Usually quantification of the variability is carried out using quantitative and qualitative data sep... ... |
Author(s): BARRETO, P. V. DE A.; SILVA, M. A. S. da; MATOS, L. N.; MIRANDA JÚNIOR, G. F.; DOMPIERI, M. H. G.; MOURA, F. R. DE; RESENDE, F. K. S. ABSTRACT: This paper proposes an algorithm for analyzing clusters of thematic maps with ordinal categorical classes to support territorial zoning. The proposed method combines the Self-Organizing Map... ... |
Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE ABSTRACT - In Brazil, agribusiness has a considerable role in the country?s GDP. Because of this, the State needs territorial planning to minimize the impacts on natural resources, especially in the P... ... |
Author(s): SPERANZA, E. A.; CIFERRI, R. R.; CIFERRI, C. D. de A. Abstract. This paper describes an experiment performed using different approaches for spatial data clustering, aiming to assist the delineation of management classes in Precision Agriculture (PA). The... ... |
Observation
Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.
Access other publications
Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.