kstosiek/HDiDM2010
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cd src python cluster.py --help Sample usage: 1. K-means python cluster.py ../data/notowania.txt --kmeans -o out -D --weekly-data -i 300 python cluster.py ../data/notowania.txt -o out -D --weekly-data -i 300 2. Hierarchical clustering. python cluster.py ../data/notowania.txt --hierarchical -o out -D --weekly-data -i 300 3. Self-organizing maps. python cluster.py ../data/notowania.txt --selforgmaps -D -i 5000 -x 3 -y 3 4. Plotting stock graphs. python plot_group.py output_kmeans 1 python plot_group.py output_kmeans 8 python plot_group.py output_kmeans 2 average python plot_group.py output_kmeans all python plot_group.py output_kmeans all average 5. Running kmeans in series for different parameters with plotting to gif files Files are stored in /report/v2/kmeans/ directory. ./run_kmeans.sh [with adjusted parameters in script source] 6. Running hierarchical clustering in series for different parameters with plotting to gif files. Files are stored in /report/v2/hierarchical/ directory. ./run_hc.sh [with adjusted parameters in script source] 7. Running self-organizing maps clustering in series for different parameters with plotting to gif files. Files are stored in /report/v2/selforgmaps/ directory. ./run_selforgmaps.sh [with adjusted parameters in script source] 8. FIXME: How to handle different events in scripts?
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Stocks clustering project created for purposes of Data Warehouses and Data Mining course, summer 2010
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