Sentence examples for with wide data from inspiring English sources

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Principal component analysis (PCA) is a useful statistical tool for identifying patterns in a data set comprising of numerous parameters each with wide data range.

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We know that in last week's tragedy – as with wider data on this year's Mediterranean crossings – a growing proportion are coming from refugee-producing countries such as Syria, Eritrea and Somalia.

Clustering: perhaps the most significant, is concerned with normalizing a wide data series into groupings that typically have some association with the mean metric of the group to which they belong (Jain 2010).

(Giraud-Carrier and Povel 2003)   c) Clustering: perhaps the most significant, is concerned with normalizing a wide data series into groupings that typically have some association with the mean metric of the group to which they belong (Jain 2010).

The measured performance in our FPGA based prototype with 32 bit wide data bus shows a throughput of 160 Mbytes/s for each module with 75 ns latency time between modules.

The iVAG is a Very Long Instruction Word (VLIW) Single Instruction Multiple Data (SIMD) processor featuring a Von Neumann architecture with a 128-bit wide data memory.

For wide-issue architectures, the data cache needs to be heavily multi-ported with extremely wide data-paths.

When we included the outlying subject with > 19 events/day, RRs for VT events were mostly larger than reported here, often > 5 with wide CIs (data not shown).

If the citizens, businesses and administrations of these cities are to benefit to the greatest possible extent from the potential of their data then it is important that they adopt the appropriate degree of harmonisation not only with other cities directly but with the wider data re-use "eco-system".

The Munich Antidepressant Response Signatures (MARS) study is a German pharmacogenomic project, with genome-wide data available for 339 inpatients with either major depression or bipolar disorder (11.2%) [ 14].

The exceptional agreement of the predictions of the method with genome-wide data highlights the importance and value of a comprehensive and consistent engineering approach for the development of such methods and models.

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