Hello, I'm fairly new to Machine Learning and I could do with some guidance on how to tackle a problem I'm on.
I have a significant number of time series data which I have measured and I want to develop an algorithm to classify them. A previous project I worked on allowed me to identify certain features in the data, and then use the Classification Learner to generate a model, which accurately predicted which set each time series belonged to.
At the MATLAB expo, I saw that with Deep Learning, I could have an algorithm automatically attempt to identify these features for me. The current data I have is much more complicated, making analysis by myself difficult. Similar to having MATLAB automatically identify the numbers 1 through 9 from a set of images, I want MATLAB to (for example), label a set of time series from 1 through 9.
How do I utilise the tools in the Neural Network toolbox to do this? I'm assuming I want to use the Clustering feature but I'm very overwhelmed by this.
Any advice would be much appreciated.
Thank you
