Determine the closest cluster for the datapoint `e`.

def predict_map(interface, state, label, inp):
    """Determine the closest cluster for the datapoint `e`."""
    out = interface.output(0)
    for row in inp:
        if len(row) > 1:
            row = row.strip().split(state["delimiter"])
            x_id = "" if state["id_index"] == -1 else row[state["id_index"]]
            x = [(0 if row[i] in state["missing_vals"] else float(row[i])) for i in state["X_indices"]]
            out.add(x_id, min([(i, state["dist"](c, x)) for i, c in state["centers"]], key=lambda t: t[1]))