To achieve minimum network latency, the protocol chooses a nearest data receiver related to the patient.
With the medoids, nearest data points can be calculated and made it as clusters.
However, the i-th measurement itself and its nearest data in time (plus marks) should be excluded from this average.
To ensure the continuity of the data, a linear interpolation between the nearest data points is used.
The separating hyper-plane that creates the maximum distance between the plane and the nearest data is called the optimal separating hyper-plane as shown in Fig. 1.
Both a generalized MCRF model equation and specific MCRF models with nearest data only in cardinal directions were provided in Li (2007, p. 327 329, see "MCRF-based SMC models").
Moreover, in the framework of the probability density function estimation, the nearest neighbour method provides density estimates depending on the Euclidean distance to the k-th nearest data point [19].
5) Fetch data from the matching waveform between the previous point of the nearest data point to P i and the previous extreme point to obtain the extension waveform and extend the waveform to the left endpoint.
k-Neighbour statistics are used to identify the nearest data locations or quantify the distance to a specific number of nearest neighbours (see Bailey and Gatrell 1995 for further discussion and equations).
This leads to several relevant drawbacks such as the risk of creating clusters that include data points (or learners) that are actually not too close, the risk of getting different clusters when running the same clustering algorithm again, meaning that the clustering algorithm does not always group the nearest data points (or learners), or the need for a predefined number of clusters.
The function T t) is introduced to exclude the contribution from the i-th measurement itself and its nearest data in time, which are considered to vary in a manner similar to the measurement (the explicit form of the function T t) will be described later).
