Finding Pulsar Variability in 50 Years of Data

Data Clustering: 50 Years Beyond K-means

Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organisms into taxonomic ranks: domain, kingdom, phylum, class, etc.). Cluster analysis is the formal study of algorithms and methods for grouping, or clustering, objects according to measured or perceived intrinsic characte...

Finding Outlier DMUs in Data Envelopment Analysis

Celebrating 50 Years of Occupational Therapy in Iran

Celebrating milestones is important. It provides a means of reflection and opportunity to give thanks to those that have come before us and as such fifty years of occupational therapy in Iran is a very worthy milestone to acknowledge. As we pause to celebrate this achievement, we take a moment to reflect on the journey to date, recognizing the accomplishments of many.  

50 years of Sterillium®

Finding Developmental Groups in Acquisition Data: Variability-based Neighbour Clustering

This article introduces a quantitative, data-driven method to identify clusters of groups of data points in longitudinal data. We illustrate this method with examples from firstlanguage acquisition research. First, we discuss a variety of shortcomings of current practices in the identification and handling of stages in studies of language acquisition. Second, we explain and exemplify our method...