Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect ...

Beijing, Jan. 18, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today ...

Securing rights through patenting your software and its algorithms is among the most effective ways of ensuring you get value ...

The screenshot in Figure 2 shows a demo C# program that uses the k-means algorithm to cluster the data. [Click on image for larger view.] Figure 1. Raw Data to Cluster [Click on image for larger view.

This is the data sparsity problem faced in clustering high-dimensional data. In the proposed algorithm, they extend the K-Means clustering process to calculate a weight for each dimension in ...

This article demonstrates K-means clustering benchmarking as a case study for Spark resource allocation and tuning analysis. Spark K-Means resource tuning: Introduction to K-means clustering. K-Means ...

An alternative is to use Forgy initialization where the k initial means/centroids are selected as random data items. In practice there is rarely any difference between using random partition ...

But the root of the problem runs deeper than bad data or poor algorithmic design. The more fundamental errors were made before Ofqual even chose to pursue an algorithm. At bottom, the regulator ...