Machine Learning Genetics

Unsupervised Analysis

Discover hidden patterns in your genetic data using advanced machine learning and unsupervised clustering algorithms.

Advanced Clustering Analysis

Multiple unsupervised learning algorithms reveal hidden genetic clusters in your ancestry composition.

K-Means Clustering Results

Silhouette Score: 87.0%

ClusterSizeAvg DistanceComposition
Primary European Cluster487 samples0.0234
SardinianGreekItalian
Mediterranean Mix312 samples0.0412
SpanishPortugueseNorth African
European-West Asian156 samples0.0678
TurkishLebaneseSouth European
Secondary Clusters89 samples0.0923
Mixed ancestry
Distant Relations34 samples0.1245
Minor components

Scroll the table sideways to see all columns.

Algorithms
3 Methods
Clusters Found
5
Quality Score
87%
Processing
< 5 sec

Use Cases

Academic Research

  • Population genetics studies
  • Phylogenetic research
  • Admixture discovery
  • Migration pattern analysis
  • Evolutionary insights
  • Publication data

Professional Analysis

  • Custom analysis pipelines
  • Client reporting
  • Expert consultancy
  • Data integration
  • Database analysis
  • Batch processing

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