Two and three dimensional data and their hierarchical modal clustering with 400 observations where the first two dimensions represent the shape of two discs.
● Data Source:
CranContrib
● Keywords: data
● Alias: disc2d, disc2d.hmac, disc3d, disc3d.hmac
●
2 images
Two dimensional data in original and log scale and their hierarchical modal clustering. This dataset demonstrates the fact that modal clustering techniques can be used to cluster untransformed data as it does not depend on parametric assumptions. The clustering results, before and after the log transformation both produce nice separation of the three clusters.
● Data Source:
CranContrib
● Keywords: data
● Alias: cta20, cta20.hmac, logcta20, logcta20.hmac
●
3 images
Plot clusters with colors obtained from hard density. Plot one dimensional data with density plot. Plot two dimensional data with scatter plot. Pairwise scatter plot will be provided for data with more than two dimensions.
Plot clusters for two dimensional data with colors representing the posterior probability of belonging to clusters. Additionally boundary points between the clusters, with specified thresholds are also
providing 
.