Agricultural price prediction is a hot research topic in the field of agriculture, and accurate
prediction of agricultural prices is crucial to realize the sustainable and healthy development …

Clustering image pixels is an important image segmentation technique. While a large
amount of clustering algorithms have been published and some of them generate …

As social media are continually gaining more popularity, they have become an important
source for manufacturers to collect information related to defects on their products from …

Unsupervised hyperspectral band selection has been an important topic in hyperspectral
imagery. This technique aims at selecting some critical and decisive spectral bands from an …

Perovskite materials are central to the fields of energy conversion and storage, especially for
fuel cells. However, they are challenged by overcomplexity, coupled with a strong desire for …

While there are a large amount of clustering algorithms proposed in the literature, the
clustering results of existing algorithms usually depend on user-specified parameters …

In object classification, feature combination can usually be used to combine the strength of
multiple complementary features and produce better classification results than any single …

Recent years have witnessed the fast development of multimedia platforms in China, such
as Youku, LeTV and Weibo. Images and videos are usually uploaded with textual …

We study the use of replicator dynamics for data clustering and structure identification. We
investigate that replicator dynamics, while running, reveals informative transitions that …

In materials discovery, it is key to explore the structure-composition relationships and
machine learning can be used as an effective tool. However, the complexity of conventional …