Color quantization is a common image processing operation with various applications in
computer graphics, image processing, and computer vision. Color quantization is essentially …

Invasive and in situ malignant melanoma together comprise one of the most rapidly
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …

Clustering algorithms play a pivotal role in the field of engineering, offering valuable insights
into complex datasets. This review paper explores the landscape of developed clustering …

Tunnel boring machine (TBM) is a complex engineering system widely used for tunnel
construction. In recent years, massive in-situ time series data of TBM has been recorded …

Color quantization (cq), the reduction of the number of distinct colors in a given image with
minimal distortion, is a common image processing operation with various applications in …

Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and
either liquid immersion or cross-polarized lighting to make subsurface structures more …

The global k-means algorithm is an incremental approach to clustering that dynamically
adds one cluster center at a time through a deterministic global search procedure from …

The availability of packaged clustering programs means that anyone with data can easily do
cluster analysis on it. But many users of this technology don't fully appreciate its many …

Neighbourhoods affect people's livelihoods, and therefore drive and mediate intra-urban
inequalities and transformations. While the neighbourhood has long been recognized as an …

Many approaches have been developed to analyze remote sensing images. However, for
the classification of large-scale problems, most algorithms showed low computational …