In spite of the abundance of clustering techniques and algorithms, clustering mixed interval
(continuous) and categorical (nominal and/or ordinal) scale data remain a challenging …

Metabolomics aims to measure and characterise the complex composition of metabolites in
a biological system. Metabolomics studies involve sophisticated analytical techniques such …

Abstract Although Artificial Intelligence (AI) has become a pervasive organizational
phenomenon, it is still unclear if and when people are willing to cooperate with machines …

Rockburst prediction is of crucial importance to the design and construction of many
underground projects. Insufficient knowledge, lack of characterizing information, and noisy …

Soil erosion is a serious threat to sustainable agriculture, food production, and
environmental security. The advancement of accurate models for soil erosion susceptibility …

Agricultural land cover is characterized by strong variations within relatively short time
intervals. These dynamics are challenging for land cover classifications on the one hand, but …

The versatile capabilities and large set of add-on packages make R an excellent alternative
to many existing and often expensive data mining tools. Exploring this area from the …

Increase in urban flood hazards has become a major threat to cities, causing considerable
losses of life and in the economy. To improve pre-disaster strategies and to mitigate …

The caret package, short for classification and regression training, contains numerous tools
for developing predictive models using the rich set of models available in R. The package …

The purpose of this book is to introduce multivariate statistical methods to non-
mathematicians. It is not intended to be a comprehensive textbook. Rather, the intention is to …