A Clusterwise Center and Range Regression Model for Interval-Valued Data

1) Center model: This model (also called CM method) was first proposed by Billard and Diday [18]. In this model only the midpoints of the intervals are considered to fitting a

This paper introduces a new type of statistical model: the interval- valued linear model, which describes the linear relationship between an interval-valued output random variable

Figure 7: Clustering quality using the Rand index for each database with different measures of distances between intervals, using a linear initialization.. The index values are

We apply a clustering approach based on that algorithm to the gene expression table from the dataset “The Cancer Cell Line Encyclopedia”.. The resulting partition well agrees with

Research on energy-efficient DC building blocks has largely been limited to evaluations of existing hardware. While simulation provides the flexibility to derive any

In this paper we ad- dress divisive hierarchical clustering, and extend the divisive algorithm proposed in (Chavent, 1998) and (Chavent et al., 2007) to data described by

Our aim is to achieve a comparison of the dynamic clustering algorithm con- sidering different distances between vectors of intervals: adaptive Hausdorff distance proposed in this

In this work we propose to obtain prediction intervals for the KWF model that are simultaneously valid for the H predic- tion horizons that corresponds with the corresponding