Unsupervised Learning in Bioinformatics

    There are a few methods in machine learning that can be applied in the field of bioinformatics like studying a genome or classification of different proteins/sub-genes in a gene. Such methods known to me are classified under unsupervised learning approaches and are listed as follows:

1) Hierarchical Clustering (Dendrograms).

2) Matrix Factorization.