Clustering Analysis:- Wholesale Customer Segmentation & Power Usage Analysis

Case Study-1: Consumer Goods Dataset.

• Data set refers to clients of a wholesale distributor & includes the annual spending in monetary units on diverse product categories.

• Our aim is to segment customer based on their spending on 3 items using K-Mean Clustering technique.

Steps performed:

• Data retrieval. • Data pre-processing. • Performed KNN technique. • Study of output and results and conclusions were drawn.

Case Study-2: Power Usage/Consumption Dataset.

• Measurements of electric power consumption in one household with a one-minute sampling rate for a day of a typical household is studied and output is analyzed to draw conclusions.

• Quality of Clustering technique is studied and measures are undertaken to improve the quality.

APPLICATIONS:

Delivery Store Optimization, Customer Segmentation for Purchase Behavior Insights, Quantitative Statistical Analysis, etc.