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KNIME_​project_​K-Means

Data Integration

Feature Creation No.1: "Allgemeines Kaufverhalten"

Feature Creation No.2: "Rabattverhalten"

Feature Creation No.3: "Produktpräferenz"

Feature Creation No.4: "Store-Präferenz"

Feature Creation No.5: "Recency"

Flat File Creation | Feature Joining

Korrelationsanalyse

Normalize and k-Means

Visualisation via Scatter Plot

Analyze

Customer Segmentation via DBSCAN

GroupBy
Column Renamer
GroupBy
Pivot
Missing Value
Joiner
Math Formula
Joiner
Math Formula
Column Renamer
GroupBy
Missing Value
Column Renamer
Pivot
Joiner
Joiner
GroupBy
Date&Time Difference
Missing Value
Joiner
Joiner
sales
CSV Reader
Products
CSV Reader
Stores
CSV Reader
Calendar
CSV Reader
Joiner
Anreicherung um Kundenstammdaten
Joiner
Column Filter
Column Renamer
Row Filter
Feature entfernen :(1) Correlation Value > 0,9 or < -0,9and(2) p-value < 0,05
Linear Correlation
Correlation Filter
Rule Engine
Column Filter
Normalizer
Scatter Plot
Joiner
Joiner
Color Manager
Scatter Plot Matrix
Customer
Excel Reader
Joiner
Joiner
Row Filter
String to Date&Time
GroupBy
String to Date&Time
k-Means
Column Renamer
Rule Engine
Row Filter
GroupBy

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: Claudia Urban
Created at: 2026-05-07
On NodePit since: 2026-05-11
Last update: 2026-05-11
Created with KNIME version: v5.11.0

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