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[D] Creating clusters from spatial/time series data

Hi guys, could you point me in the right directions, or at least tell me something like this isn’t (easily) doable.

I have data containing several months worth of langitude/longitude coordinates of signals, all within a relatively small area. Data is such that time component has granularity of 10 minutes, meaning that if a signal is in that area and moving, it’s location will be reported every 10 minutes so I can kinda see some moving patterns with simulation, where a particular signals enters the area and where it exits it.

There aren’t many signals in general, however it can sometime occur that 2 or more signals shows up in different parts of the area, with their own moving patterns.

I would like to create several clusters without having any prior labels, such that I could group together similar signals, for example every Monday morning some signals enters at approximately northwest, makes a clockwise circle, and exits at southeast.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.