Customer Segmentation with K-means clustering
Customer segmentation using k-means clustering and Silhouette score for determining the best value for k.
Nodes
- Integer Configuration4 ×
- Scatter Plot (JavaScript)4 ×
- Column Filter3 ×
- Round Double3 ×
- k-Means3 ×
- Color Manager2 ×
- Conditional Box Plot (JavaScript)2 ×
- GroupBy2 ×
- Linear Correlation2 ×
- Nominal Value Row Splitter2 ×
- Normalizer2 ×
- Sorter2 ×
- Bar Chart1 ×
- Bar Chart (JavaScript)1 ×
- Breakpoint1 ×
- CSV Reader1 ×
- CSV Writer1 ×
- Column Appender1 ×
- Column Filter Configuration1 ×
- Extract Column Header1 ×
- Column Rename1 ×
- Insert Column Header1 ×
- Denormalizer1 ×
- Double To Int1 ×
- Joiner1 ×
- Line Plot (JavaScript)1 ×
- Math Formula (Variable)1 ×
- Numeric Outliers1 ×
- Parameter Optimization Loop End1 ×
- Parameter Optimization Loop Start1 ×
- Row Filter1 ×
- Rule Engine1 ×
- Rule Engine Variable1 ×
- Silhouette Coefficient1 ×
- Single Selection Configuration1 ×
Table Column to Variable1 ×- Transpose1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Distance Matrix
- FeatureKNIME JavaScript Views
- FeatureKNIME Javasnippet
- FeatureKNIME Math Expression (JEP)
- Show all 9 modules
Links
- No links available