Sentence examples for separation of measures from inspiring English sources

Exact(1)

Consequently, the PCA results could be interpreted in terms of a separation of measures along two dimensions: "Rapid" vs. "Delayed" (PC1) and "Popularity" vs. "Prestige" (PC2).

Similar(59)

Figure 4 Time ‐ aligned (a) gait cycle, (b) time ‐ domain waveform of two EMG footfall wave packets, (c) cross time ‐ frequency visualization of two EMG footfall wave packets, (d) line denoting separation of measure for energy above 100 Hz, (e) location of peak energy and time ‐ bandwidth measures, (f) recording of pressure data from time ‐ synchronized mat.

On the other hand, the separation of individual measures from specific regulatory instruments was part of the survey's concept to enable us to learn which measures are attractive and practicable in the eyes of the respondents.

The fitting procedure used allowed the separation of the measured spectra, Co 2p, Cr 2p, Mo 3d and O 1s, into contributions of various species.

T3 specified the temporal separation of pairs, measured from offset of one pair till onset of the next.

The correlation circle showed that, except for Electrolyte Leakage (EL), there is a distinct separation of parameters measured in watered and stress conditions.

The magnitude of angular deformity is the separation of these lines measured in degrees at the circumference.

T2 specified the temporal separation of pair members, measured from offset of the first member till onset of the second member.

Therefore at the optimal value of the DDP, separation of classes as measured using the Manhattan distance in PC space is maximized because of this enhancement.

This study demonstrated good separation of mean elasticity, measured in kilopascals, between fatty tissue (3 kPa), dense parenchyma (45 kPa), benign lesions (<80 kPa) and malignant lesions (>100 kPa) [ 14].

We can then deduce that the Manhattan distance is a pure embodiment of relevance because it does not matter whether the total relevance results from redundancy or otherwise – any relevant feature, whether redundant w.r.t. the other members of the predictor set or not, will increase separation of classes as measured using the Manhattan distance.

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