Flicker noise analysis was performed to distinguish between intramolecular and intermolecular charge transport modes. To perform this analysis, the conductance fluctuations were experimentally determined while holding molecular junctions at a fixed tip-to-substrate separation for 100 ms. The transient conductance response is then analyzed using discrete Fourier transform to obtain the noise power spectral density (PSD). Flicker noise power is determined by numerically integrating the PSD between frequencies of 100 Hz to 1000 Hz. 2D flicker noise histograms are then determined based on the flicker noise power and their corresponding average conductance. The relationship between the noise power and the average conductance can be described based on a scaling factor n. By fitting the 2D flicker noise histogram with 2D Gaussian, the scaling factor n is determined when the correlation between the noise power/G n and the average conductance is minimized. A scaling factor of n ≈ 1 indicates through-bond conductance, whereas a scaling factor of n ≈ 2 indicates through-space conductance. Because our experiments on ladder type molecules revealed two clear populations, we first utilized the K-means++ clustering algorithm to classify the data into two distinct sub-populations. Flicker noise analysis was then performed independently for each cluster .