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Statistics is a mathematical and conceptual discipline that focuses on the relation between data and hypotheses.
In this paper, we focus on computing the relation between data reliability and distribution costs.
The cluster tree forms in this step using information yielded from degree of relation between data which places them in respected groups.
Here we explore the relation between data size and quality in more detail to see how much data we can "throw away".
In [16], it is shown the existing relation between data rate, transmission power and energy efficiency for SISO and MIMO systems.
The minimum participation criteria for cooperative communication is given in Table 2 when the relation between data transmission rates and ranges for IEEE 802.11b has those values in Table 3 [20].
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Moreover, they cannot consider semantic relations between data elements.
However, most of these methods aim to construct an ECOC code Matrix without considering the relations between data to design an ensemble of binary classifiers.
Notably, the likelihoodist approach fits well with a long history in formal approaches to epistemology, in particular with confirmation theory (see Fitelson 2007), in which the probability theory is used to spell out confirmation relations between data and hypotheses.
To solve the second problem, a modified algorithm based on distance relations between data and cluster centers is designed to ascertain the actual centers generated by the SC algorithm.
Based on our findings in the experiments described above, we propose a subspace clustering-based workflow (c.f. Fig. 11) to find relations between data records, dimensions, and associated class labels.
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