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Customer Segmentation Analysis unsing K-Means Clustering

Membaca dataset Mall_Customers.csv
CSV Reader
Melakukan analisis statistik
Statistics
Mengelompokkan pelanggan ke dalam 5 kluster menggunakan algoritma k-Meas
k-Means
Menghapus kolom CustomerID dan kolom gender
Column Filter
Melakukan normalisasi Min-Max pada fitur numerik agar skala data seragam (0-1)
Normalizer
Menghapus kolom Age
Column Filter
Mengevaluasi kualitas hasil clustering secara matematis
Silhouette Coefficient
Melakukan analisis statistik
Statistics
cluster_1 => Standard (Middle Class)"cluster_2 => "Impulsive (Low Income, High Spend)"cluster_3 => "VIP (High Income, High Spend)" cluster_4 => "Careful (High Income, Low Spend "
Rule Engine
Memberikan warna yang berbeda untuk seriap kluster
Color Manager
Visualisasi hasil clustering dalam bentuk diagram pencar
Scatter Plot

Nodes

Extensions

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: shahad
Created at: 2026-04-30
On NodePit since: 2026-05-02
Last update: 2026-05-02
Created with KNIME version: v5.11.0

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