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Bailey, B. (2017). Lightning Talk: Clustering with HDBScan, https://towardsdatascience.com/lightning-talk-clustering-with-hdbscan-d47b83d1b03a. (Access date: 21.09.2018).
Bholowalia, P., Kumar, A. (2014). EBK-Means: A Clustering Technique based on Elbow Method and K-Means in WSN. https://pdfs.semanticscholar.org/5771/aa21b2e151f3d93ba0a5f12d023a0bfcf28b.pdf. (Access date: 21.09.2018).
EPA (2018). Global Greenhouse Gas Emissions Data, https://www.epa.gov/ghgemissions/global-greenhouse-gas-emissions-data. (Access date: 19.09.2018).
EuroStat (2018). Agriculture - greenhouse gas emission statistics, https://ec.europa.eu/eurostat/statistics-explained/index.php/Archive:Agriculture_-_greenhouse_gas_emission_statistics. (Access date: 19.09.2018).
FAO (2015). Estimating Greenhouse Gas Emissions In Agriculture. A Manual to Address Data Requirements for Developing Countries, http://www.fao.org/3/a-i4260e.pdf. (Access date: 19.09.2018).
FAO Stat (2018a). Value of gross production, http://fenixservices.fao.org/faostat/static/documents/QV/QV_e.pdf. (Access date: 19.09.2018).
FAO Stat (2018 b). Agriculture Total Emissions, http://fenixservices.fao.org/faostat/static/documents/GT/GT_e .pdf. (Access date: 19.09.2018).
Grossberger, L., Battaglia, F.P., Vinck, M. (2018). A novel distance measure for the unsupervisedclustering of temporal patterns in high-dimensional neuronal ensembles, https://www.biorxiv.org/content/biorxiv (Crossref)
/early/2018/01/24/252791.full.pdf?%3Fcollection=. (Access date: 21.09.2018).
Han, J., Kamber, M., Pei, J. (2012). Data mining concepts and techniques, Third edition, Morgan Kaufmann Publishers, Elsevier Inc.
Legg, W., Huang, H. (2010). Climate change and agriculture, http://oecdobserver.org/news/archivestory.php
/aid/3213/Climate_change_and_agriculture.html. (Access date: 19.09.2018).
OECD Stat (2018). Environmental Performance of Agriculture in OECD countries since 1990, https://stats.oecd.org/index.aspx?queryid=521. (Access date: 19.09.2018).
Luxburg, U., Wiliamson, R.C., Guyon, I. (2012). Clustering: Science or Art? http://proceedings.mlr.press
/v27/luxburg12a/luxburg12a.pdf. (Access date: 23.09.2018).
Qiao, A., Jackson, J. (2018). Scalable Clustering for Exploratory Data Analysis, https://medium.com/Petuum/scalable-clustering-for-exploratory-data-analysis-60b27ea0fb06. (Access date: 19.09.2018).
Rahman, F., Liu, W., Suhaim, S., Thirumuruganathan, S., Zhang, N., Das, G., HDBSCAN: Density based clustering over location based services, https://arxiv.org/pdf/1602.03730.pdf. (Access date: 21.09.2018).
Stamford, J. (2015). K Means Clustering in Python, http://stamfordresearch.com/k-means-clustering-in-python/. (Access date: 19.09.2018).
Struyf, A., Hubert, M., Rousseeuw, P. (1996). Clustering in an Object-Oriented Environment. Journal of Statistical Software,1(4) URL http://www.jstatsoft.org/v01/i04/. (Access date: 21.09.2018). (Crossref)
Tholoz, P. (2018). Comparing Python Clustering Algorithms, https://github.com/scikit-learn-contrib/hdbscan/blob/master/docs/comparing_clustering_algorithms.rst. (Access date: 21.09.2018).
Tubiello, F.N., Cerilli, S., Conchedda, G. (2017). Mapping IPCC greenhouse gas emissions categories to ISIC A in the SEEA AFF, https://seea.un.org/sites/seea.un.org/files/lg23_seea_aff_ghg_final.pdf. (Access date: 19.09.2018).
Vivek, S. (2018). Clustering algorithms for customer segmentation, https://towardsdatascience.com/clustering-algorithms-for-customer-segmentation-af637c6830ac. (Access date: 19.09.2018).
Wilkes, A., Reisinger, A., Wollenberg, E., van Dijk, S. (2017). Measurement, reporting and verification of livestock GHG emissions by developing countries in the UNFCCC: current practices and opportunities for improvement, https://cgspace.cgiar.org/bitstream/handle/10568/89335/CCAFS_Report17.pdf. (Access date: 19.09.2018).
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