Clustering

Clustering

Example of clustering using the Customer Mall dataset

Step 1: Data Understanding

Accessing the data and exploring it using tables and graphics

Number of rows: 200

Number of columns: 4

Dataset cleaned: Yes

Dataset name: customer_dataset.csv

Dataset link: here

Gender	Age	Annual Income	Spending Score (1-100)
Male	19	15	39
Male	21	15	81
Female	20	16	6
Female	23	16	77
Female	31	17	40

	Age	Annual Income (k$)	Spending Score (1-100)
count	200.00	200.00	200.00
mean	38.85	60.56	50.20
std	13.97	26.26	25.82
min	18.00	15.00	1.00
25%	28.75	41.50	34.75
50%	36.00	61.50	50.00
75%	49.00	78.00	73.00
max	70.00	137.00	99.00

correlation matrix

Correlation Matrix Heatmap

Visualize the data using a 3D scatter plot

Step 2-3: Modeling and Evaluation

Using different evaluation metrics to understand a machine learning model's performance, as well as its strengths and weaknesses

K-Means

k-Means Algorithm

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Correlation Matrix Heatmap