(20+4)

k=(5+5)

(0+5)

3. [10 pts] Spark k-mean Clustering - Input file: minute_weather.csv with missing value removed - Sample the input dataset by taking one sample per (20+x7) records - Cluster the sampled dataset by using k-mean clustering with the following parameters - 5 Input Features scaled by a StandardScaler: ['air_pressure', 'air_temp', 'avg_wind_speed', 'max_wind_speed', 'relative_humidity'] Number of clusters: k=(x6+5) clusters with a seed of (x5+5) - Question: Which cluster appears to have Santa Ana conditions (lowest humidity and highest wind speed)? - CANVAS Submission: Upload the file below to Assignment Section "Final Section 2: Q3". - Python notebook (.ipynb) file with answer to the question in a Text cell of the .ipynb file