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Finally, we construct combined distance matrices for combinations of input attributes and cluster based on the combined matrices.
We created combined distance matrices for all possible combinations of distance matrices.
Combined matrices: combined distance matrices are calculated using various individual distance matrix combinations.
In situations where many additional features are used, several specifically targeted feature combinations could also be identified for creating a limited number of combined distance matrices.
Then we propose a combined distance measure for classification.
Thirty years after Rosie Ruiz infamously combined distance running and subway riding, some marathoners still succumb to temptation and take unscrupulous means to the end.
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We construct a new parametric distance function, combining DTW and DDTW, where a single real number parameter controls the contribution of each of the two measures to the total value of the combined distances.
For networks with combined distance-bearing measurements, there is a combinatorial characterization of rigidity for hybrid distance-bearing constraints as follows [25, 26]: Theorem 2. With D for distances and B for bearings, a graph G = (V, D, B) is rigid if and only if the following conditions hold: 1. |D| + |B| = 2|V | - 2; 2.
For the AD approach, single-gene distances and rates were weighted by sequence length and then combined distances were divided by combined rates.
Combining distance measures is useful to handle different properties of terrain, that is, a static property such as soil types and a dynamic property such as the velocities.
Among these indices, collision risk obtained by combining Distance to the Closest Point of Approach (DCPA) and Time to the Closest Point of Approach (TCPA) information with fuzzy theory is mostly used.
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