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*Background reading on various spatial clustering algorithms and use of data science concepts in police departments | *Background reading on various spatial clustering algorithms and use of data science concepts in police departments | ||
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| + | <h2>Week Two</h2> | ||
| + | *Compiled a preliminary list of clustering algorithms sorted into family, with a note of potential sources of biases and a summary of the steps | ||
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| + | *Demonstrated a variety of clustering algorithms on random data | ||
| + | |||
| + | *Explored Kernel Density Estimates | ||
Revision as of 17:07, 8 June 2018
Mentor: Dr. Shion Guha
Lab Github: https://github.com/marquettecomputationalsocialscience
Personal Github:https://github.com/KatyWeathington
Week One
- Orientation
- Data discussion meeting and updating new team members on previous work and lab goals
- Background reading on various spatial clustering algorithms and use of data science concepts in police departments
Week Two
- Compiled a preliminary list of clustering algorithms sorted into family, with a note of potential sources of biases and a summary of the steps
- Demonstrated a variety of clustering algorithms on random data
- Explored Kernel Density Estimates
