kaanan99 / kdd-lab-4 Goto Github PK

CSC 466
Lab 4

Jacob Gold - [email protected]
Kaanan Kharwa - [email protected]

• kmeans.py
• dbscan.py
• hclustering.py
• visualize.py

python3 kmeans.py
Required flags:

1. [-k] num -> number of clusters
2. dataset.csv -> input dataset Optional flags:
3. [-c] class -> class label column index
4. [-norm] (0,1) -> if 1, normalizes data before computing clusters
5. [-h] -> help

python3 dbscan.py
Required flags:

1. [-ep] num -> epsilon value for clusters
2. [-minPts] num -> minimum points per cluster
3. dataset.csv -> input dataset Optional flags:
4. [-c] class -> class label column index
5. [-norm] (0,1) -> if 1, normalizes data before computing clusters
6. [-h] -> help

python3 hclustering.py [-h] dataset.csv
Required flags:

1. [-t] num -> threshold value for clusters
2. dataset.csv -> input dataset Optional flags:
3. [-c] class -> class label column index
4. [-norm] (0,1) -> if 1, normalizes data before computing clusters
5. [-h] -> help

Compile instructions are n/a, this was our tool to output visualizations for the algorithms