Introduction to Unsupervised Machine Learning, number of approaches to unsupervised learning such as K-means clustering, hierarchical agglomerative Clustering and its applications.
-
Updated
Apr 3, 2020 - Jupyter Notebook
8000
Introduction to Unsupervised Machine Learning, number of approaches to unsupervised learning such as K-means clustering, hierarchical agglomerative Clustering and its applications.
Recreation and enrichment of the gastric (GC) cancer single-cell RNA-seq (scRNA-seq) data analysis pipeline described in the "Comprehensive analysis of metastatic gastric cancer tumour cells using single‑cell RNA‑seq" by Wang B. et. al, using the raw counts matrix they provide.
Improved model performance on accuracy and NMI indicator by determining the optimal number of clusters and post-processing.
Add a description, image, and links to the average-linkage topic page so that developers can more easily learn about it.
To associate your repository with the average-linkage topic, visit your repo's landing page and select "manage topics."