Mathematical Problems in Engineering / 2019 / Article / Fig 2

Research Article

Heuristic Clustering Based on Centroid Learning and Cognitive Feature Capturing

Figure 2

Clustering results of the four synthetic data sets by the new clustering. (a) Result with “Airplane” data set. (b) Result with “Anchor” data set. (c) Result with “Ring” data set. (d) Result with “Swissroll” data set. The four data sets have typical cognitive features, such as density difference, connectedness, and manifolds.

(a)
(b)
(c)
(d)

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.