cmahalanobis - Calculate Distance Measures for a Given List of Data Frames with
Factors
It provides functions that calculate Mahalanobis distance,
Euclidean distance, Manhattan distance, Chebyshev distance,
Hamming distance, Canberra distance, Minkowski distance, Cosine
distance, Bhattacharyya distance, Jaccard distance, Hellinger
distance, Bray-Curtis distance, Sorensen-Dice distance between
each pair of species in a list of data frames. These metrics
are fundamental in various fields, such as cluster analysis,
classification, and other applications of machine learning and
data mining, where assessing similarity or dissimilarity
between data is crucial. The package is designed to be flexible
and easily integrated into data analysis workflows, providing
reliable tools for evaluating distances in multidimensional
contexts.