Density-based Clustering
Density-based Clustering#
Task: Load, rearrange, standardize the celadons data set.
Solution:
# your solution
Task: Plot a histogram of pairwise distances to get a feeling for distances in the data set.
Solution:
# your solution
Task: Use DBSCAN algorithm for clustering. Print sample names for each cluster (and outliers).
Solution:
# your solution
Task: Use OPTICS algorithm for clustering. Choose clusters manually.
Solution:
# your solution
Task: Visualize the data set exploiting the tree structure generated by OPTICS algorithm. Label each node with the sample name.
Solution:
# your solution