There is a dataset with 10 classes that each cluster has about 5 samples and each sample has 100 features. Now, I want to use it for clustering. Which kind of algorithms are useful for these kind of datasets?
Actually, I want to make a model based on this dataset. But, first of all, I want to pre-process it by clustering to recognize any hidden patterns. Then try to find a suitable algorithm for modeling.
In addition, the dataset is prepared by several experimental tests. Thus, increase the number of tests are costly. That is the problem !