Based on 2025 German Study

Chemovar
Clusters

Cannabis classification by chemistry, not folklore

6 Clusters
420 Samples Analyzed
9 Key Terpenes

The Science

Beyond Indica vs Sativa

A modern approach to cannabis classification based on peer-reviewed research.

1 dna

Chemical Fingerprints

The 2025 German study by Herwig et al. analyzed 420 medical cannabis products using k-means clustering on 9 key terpenes that explain 86% of chemical variation. The result: 6 distinct clusters that predict effects far better than plant morphology ever could.

1 test-tube-diagonal 9 Terpenes

Myrcene, caryophyllene, limonene, linalool, humulene, pinene, terpinolene, fenchol, and ocimene.

1 target Validated

Silhouette score 0.68, Davies-Bouldin index 0.72 - statistically robust clustering.

1 book-open-check Peer Reviewed

Published in Cannabis and Cannabinoid Research, a leading academic journal.

Citation: Herwig N, et al. (2025) "Classification of Cannabis Strains Based on their Chemical Fingerprint - A Broad Analysis of Chemovars in the German Market." Cannabis and Cannabinoid Research 10(3):409-419. DOI: 10.1089/can.2024.0127

Common Questions

Frequently Asked Questions

What are Chemovar Clusters?

Chemovar Clusters are six scientifically-validated cannabis categories based on a 2025 German study analyzing 420 medical cannabis products. Using k-means clustering of terpene profiles, researchers identified six distinct chemical fingerprints that predict effects more accurately than indica/sativa labels.

How were the six clusters determined?

The 2025 study by Herwig et al. analyzed terpene concentrations in 420 cannabis samples using k-means clustering. They measured 9 key terpenes (myrcene, caryophyllene, limonene, linalool, humulene, pinene, terpinolene, fenchol, and ocimene) that explain 86% of chemical variation. The clustering algorithm identified six distinct profiles with high statistical validity (Silhouette score 0.68).

Are Chemovar Clusters better than indica vs sativa?

Yes. The indica/sativa binary describes plant structure, not effects. Modern research shows terpene profiles are far better predictors of experience. Chemovar Clusters are based on actual chemical analysis rather than plant morphology, providing more accurate effect predictions for consumers.

Can strains belong to multiple clusters?

Our matching algorithm assigns each strain to its closest cluster based on terpene profile similarity using Euclidean distance calculations. While some strains may share characteristics of multiple clusters, we assign the best match to help you find consistent experiences.

What is the scientific source for this classification?

The Chemovar Cluster system is based on: Herwig N, et al. (2025) 'Classification of Cannabis Strains Based on their Chemical Fingerprint - A Broad Analysis of Chemovars in the German Market.' Cannabis and Cannabinoid Research 10(3):409-419. DOI: 10.1089/can.2024.0127

How do I choose the right cluster for me?

Consider your desired outcome: Relaxing Body for sleep and pain relief, Uplifting Citrus for mood and energy, Rare Energizer for unique stimulation, Therapeutic Spice for targeted pain relief, Gentle Balance for beginners or low-intensity needs, and Full Spectrum for complex, potent experiences.
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