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Finally, by DBSCAN algorithm, merge these small clusters if they have common data points.
Finally, after merging several clusters which have common data points, we can get objective clusters.
We appreciate that Facebook allows users to type this information into the "Bio" section of their profiles, and privatize it, but we believe that users should have more control over these very personal and very common data points.
We use rough entropy method to calculate the similarity between data points and employ the basic idea of DBSCAN method to merge the clusters which have common data points to generate target clusters.
Global comparisons of microRNA expression across species therefore need to be a careful compromise between evolutionary distance and availability of common data points.
Most of the SSR and gene-specific markers included in our map represent common data points across several linkage maps constructed for various carrot traits [ 18, 29– 31] as well as chromosome anchoring markers [ 34].
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To summarize, if clusters have a common data point (reachable from each other), these clusters can be merged and generate a new cluster (x 9 is not reachable from any other point, it is a noise point).
Besides contact information, the most common sensitive data points are dates, such as dates of admission or treatment (which are not allowed in a de-identified data set).
The BIC is more often used for neural applications as it compensates for the large N (number of data points) common to neural data sets.
In this way, models were forced into the common situation of scarce data points.
The two data sets were combined after imputation [ 21] to fill in missing points, and common genes without missing data points between the two were selected for NCA.
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