Method and system for generating keys associated with biological extraction cluster categories

1. An apparatus for generating keys associated with cluster categories, the apparatus comprising:

at least a processor; and

a memory communicatively connected to the at least a processor, the memory containing instructions configuring the processor to:

receive at least a biological extraction;

classify the at least a biological extraction to a biological extraction cluster;

generate a cluster key where generation comprises:

identifying data categorizing the biological extraction cluster; and

producing a cluster key using the identified data;

produce a biological extraction cluster description, wherein producing the cluster description further comprises:

generating a digest based on the biological extraction cluster; and

signing the digest with the cluster key.

2. The biological extraction cluster of claim 1 , further comprising a parsing module configured to:

generate a query using the at least biological extraction; and

retrieve from a database at least a consistent biological extraction element as a function of the query.

3. The apparatus of claim 1 , wherein classifying the biological extraction to the biological extraction cluster further comprises:

receiving a first training data containing a plurality of data entries containing a plurality of inputs containing biological extraction data correlated to a plurality of outputs labeling biological extraction clusters;

training a classifier as a function of the training data; and

classifying the biological extraction to the biological extraction cluster using the classifier.

4. The apparatus of claim 1 , wherein classifying the biological extraction further comprises non-disjoint classification.

5. The apparatus of claim 1 , further configured to generate the biological extraction cluster by combining biological extraction clusters into a biological extraction cluster category.

6. The biological extraction cluster category of claim 5 , wherein the biological extraction cluster category further comprises correlated biological extraction elements.

7. The apparatus of claim 1 , wherein generating the cluster key as a function of the biological extraction cluster is further configured to generate a second cluster key as a function of the biological extraction cluster category.

8. The apparatus of claim 1 , wherein producing the biological extraction cluster description further comprises posting the cluster description to an immutable sequential listing.

9. The apparatus of claim 1 , wherein producing the biological extraction cluster description further comprises updating the biological extraction cluster description using a timestamp validation confirmation.

10. The apparatus of claim 9 , wherein updating the biological extraction cluster description using the timestamp validation confirmation further comprises re-generating a new biological extraction cluster description.

11. A method for generating keys associated with cluster categories comprising a computing device:

receiving, by a computing device, at least a biological extraction;

classifying, by the computing device, the at least a biological extraction to a biological extraction cluster;

generating, by the computing device, biological extraction cluster where generation comprises:

classifying data categorizing biological extraction cluster; and

producing a cluster key using the biological extraction cluster;

producing, by the computing device, a biological extraction cluster description wherein the cluster description further comprises:

generating a digest; and

signing the digest with the cluster key.

12. The biological extraction cluster of claim 11 , further comprising a parsing module configured to:

generate a query using the at least biological extraction; and

retrieve from a database at least a consistent biological extraction element as a function of the query.

13. The method of claim 11 , wherein classifying the biological extraction to the biological extraction cluster further comprises

receiving a first training data containing a plurality of data entries containing a plurality of inputs containing biological extraction data correlated to a plurality of outputs labeling biological extraction clusters;

training a classifier as a function of the training data; and

classifying the biological extraction to the biological extraction cluster using the classifier.

14. The method of claim 11 , wherein classifying the biological extraction further comprises non-disjoint classification.

15. The method of claim 11 , further configured to generate the biological extraction cluster by combining biological extraction clusters into a biological extraction cluster category.

16. The biological extraction cluster category of claim 15 , wherein the biological extraction cluster category further comprises correlated biological extraction elements.

17. The method of claim 11 , wherein generating the cluster key as a function of the biological extraction cluster is further configured to generate a second cluster key as a function of the biological extraction cluster category.

18. The method of claim 11 , wherein producing the biological extraction cluster description further comprises posting the cluster description to an immutable sequential listing.

19. The method of claim 11 , wherein producing the biological extraction cluster description further comprises updating the biological extraction cluster description using a timestamp validation confirmation.

20. The method of claim 19 , wherein updating the biological extraction cluster description using the timestamp validation confirmation further comprises re-generating a new biological extraction cluster description.