Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

Anthony Friscia, the director of the UCLA Cluster Program – a year-long general education program for first-year students – sat down with Daily Bruin reporter Caitlin Brockenbrow to discuss the goals ...

Abstract: Hierarchical clustering is a method in data mining and statistics used to build a hierarchy of clusters. Traditional hierarchical clustering relies on a measure of dissimilarity to combine ...

ST. GEORGE, Utah (KUTV) — As students across Utah return to school, a new layer of security is taking effect in districts statewide. The School Guardian Program, mandated under House Bill 84, requires ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

Introduction: The relationship between physical activity and anxiety among students has been extensively studied, with research highlighting the protective effects of physical activity on mental ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

examples_distance.dat is one of the supplementary files in "Clustering by fast search and find of density peaks "sample.txt is an example dataset with 4000 instances and each instance has two features ...

A platform to identify patients for cancer vaccine trials: The NHS England Cancer Vaccine Launch Pad (CVLP). This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...