… learning applications. Therefore, interest has grown in providing online alternatives for
validation. This paper extends the incremental cluster validity index (iCVI) family by presenting …

… online learning by incorporating: 1) online normalization, online complement coding, and
online … prune-and-reassign heuristics during online learning; 3) summary statistics associated …

… Exponential fading memory is a common approach in online learning methods. In this
approach a forgetting factor 0 < λ < 1 is included in the incremental estimations so that the data …

… Exponential fading memory is a common approach in online learning methods. In this
approach, a forgetting factor urn:x-wiley:08848173:media:int22064:int22064-math-0118 is …

… in online learning as well as reports of high attrition rates in it, understanding student readiness
for online learning … The first two phases address translation validity, while the third phase …

… Abstract-In this work, we address the hard clustering problem. We study how well clustering
algorithm efficacy measures (clustering validity indices) can reflect the clustering quality. We …

… internal cluster validity indices 1v1,v2,...l and the Adjusted Rand Index (ARI) and learn a …
To this end we train a Regression model RM(v1,v2,...) that takes cluster validity indices as input …

… Validity Indices (iCVIs) could be applied for monitoring the performance of an online clustering
… In this paper, we study the internal incremental Davies-Bouldin (iDB) cluster validity index …

… to align it with the intended learning outcomes (LO). We present a model for ensuring
assessment validity which supports this constructive alignment and uses learning analytics (LA). …

… one optimal number of clusters. That number is … cluster validity index based on a correlation
between an actual distance between a pair of data points and a centroid distance of clusters …