Data Tools

Data Clustering Analysis

Group similar data points using K-means and hierarchical clustering algorithms

Input data (JSON array)

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Clustering method

Number of clusters

Maximum iterations

Standardize featuresInclude detailed statistics

Clustering results (JSON)

Output will appear here...

Example input

[
  { "id": 1, "age": 25, "income": 50000, "spending": 35000 },
  { "id": 2, "age": 35, "income": 75000, "spending": 45000 },
  { "id": 3, "age": 45, "income": 100000, "spending": 60000 }
]

K-Means: partition into k clusters by minimizing variance
Hierarchical: merge similar clusters progressively
Silhouette score closer to 1 indicates better separation