trajectory_landmarks: determining initial trajectory and landmarks
In uSORT: uSORT: A self-refining ordering pipeline for gene selection

determining initial trajectory and landmarks

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trajectory_landmarks(knn, data, s, partial_order = NULL, waypoints = 250,
  waypoints_seed = 123, metric = "euclidean", flock_waypoints = 2,
  band_sample = FALSE)

`knn`	A sparse matrix of knn.
`data`	data.
`s`	The ID of starting point.
`partial_order`	A vector of IDs specified as recommended waypoints, NULL to ignore.
`waypoints`	Either the number of waypoints, or specify the waypoint IDs.
`waypoints_seed`	Random sampling seed, for reproducible results.
`metric`	Distance calculation metric for nearest neighbour detection.
`flock_waypoints`	Iteration of using nearest points around waypoint to adjust its position.
`band_sample`	if give more chance to nearest neighbours of starting point in randomly waypoints selection.