Implement the hierarchical agglomerative clustering with the following linkage: single, complete, average and centroid
computer science
Description
Data Analysis Assingment:
1. Implement
the hierarchical agglomerative clustering with the following linkage: single,
complete, average and centroid .Your program should be written in R. You are
not allowed to use any existing implementations of hierarchical agglomerative
clustering in R or any other language, and should code the hierarchical
agglomerative clustering from first principles. However, you can use built-in R
functions to visualise your results.
2. Apply your program to the NCI microarray
data set which can be downloaded from the course’s Moodle page. This dataset
has 64 columns and 6830 rows, where each column is an observation (a cell line)
and each row represents a feature (a gene); (Therefore, the data set is
represented via its transposed data matrix.) . Preprocess the data set as
appropriate.
