CLUSTERING METHODS

I have a database (61x35040 matrix) resulting from measurements of 61 devices (61 rows) for 1 year, every 15 minutes (4 measurements/hour * 24 hours * 365 days = 35040 columns)... The first step is to get the score of the first 3 Principal Components. Later, based on it, apply clustering methods in Matlab and compare the results (graphically). The methods to be used are Hierarchical clustering, DBSCAN, Nearest Neighbors, and K-means (the number of clusters will be determined based on the previous 3 methods)... Spanish or English is useful for communication.
I have a simulation in Matlab and the matrix.