Hello aavula,
Combining features depends on the nature of the features and the classification algorithm you plan to use.
The simplest method is to concatenate the feature vectors into a single vector. This approach assumes that both feature sets are compatible and can be directly combined.
If the concatenated feature vector is very high-dimensional, you might want to reduce its dimensionality using techniques like PCA
You can aslo assign weights to each feature set before combining them.
