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🔬 Cluster Analysis / Factor Analysis
K-means Clustering · Exploratory Factor Analysis (EFA)
K-means
Factor Analysis (EFA)
K-means automatically splits samples into K groups: similar within a group, different across groups. Enter multi-dimensional data, one sample per row, variables separated by space / Tab / comma.
Input data (one sample per row, multiple variable columns)
Cluster Results
Clusters
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Samples
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Variables
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Within SS (WSS)
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Cluster Centers
Sample Assignment
Cluster Scatter Plot (first two dimensions)
About Cluster Analysis & Factor Analysis
Online cluster and factor analysis: K-means and hierarchical clustering with dendrograms, exploratory factor analysis with rotation and loadings.
Learn more about this tool →
Principal Component Analysis
Discriminant Analysis
Correspondence Analysis
Data Transformation Tool
Descriptive Statistics
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