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Customer Personality Analysis

Data Understanding
Data Cleaning
PCA Clustering
K-Means
Hierarchical Clustering
DBSCAN
Internal Validation
External Validation with Campaign Responses
CSV Reader
Silhouette Plot
Combine Noisy Cluster
Rule Engine
Numeric Distances
Filter Out NoisyClusters
Rule-based Row Filter
k = 3
k-Means
PCA Apply
Box Plot
EDA
PCA not main FocusExcluding Campaigns
PCA Compute
Transform Date Type
Initial Cleaning
DBSCAN on PCA
Feature Engineering,Outlier RemovalOHE & Normalization
Data Cleaning
k-Means on PCA
Hierarchical Clustering on PCA
Parallel Coordinates Plot
Correlation Matrix
Excluding Campaigns
Numeric Distances
EDA with PCA
Density Problem - finds only one Cluster
DBSCAN
Problem with Densities
Scatter Plot
Silhouette Plot K-Means
Knee Plot PCA
Denormalizer
Color Manager
K-Means Plot Adaptions
Silhouette Coefficient
Hierarchical Clustering
Parallel Coordinates Plot
Silhouette Coefficient
Number to String
Hierarchical Clustering Plot Adaptions
Silhouette Coefficient

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: klaukocsenge
Created at: 2025-12-02
On NodePit since: 2026-10-23
Last update: 2026-10-23
Created with KNIME version: v5.7.0

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