The exploration of heath data by clustering algorithms allows to better describe the populations of interest by seeking the sub-profiles that compose it.
6 months ago

Data is incredibly significant in today's digital age because data represents facts and numbers from our regular life transactions. Data is no longer...
6 months ago

DenseClus uses a combination of UMAP and HDBSCAN to map mixed-type data into a dense, lower dimensional space.
40 months ago

This article comprehensively reviews the applications and algorithms used for monitoring the evolution of clustering solutions in data streams.
13 months ago

PDF | Clustering algorithms have become one of the most critical research areas in multiple domains, especially data mining.
42 months ago

Outlier detection in bioinformatics data streaming mining has received significant attention by research communities in recent years.
94 months ago

The first article explained how mixed variables — numerical and categorical — can be analyzed by using k-Means or Mean Shift clustering...
37 months ago

We define the high-cardinality anomaly detection (HCAD) problem as performing anomaly detection on a data stream where individual entities in the stream are...
49 months ago

Expert Systems: The Journal of Knowledge Engineering is an artificial intelligence journal for research on knowledge & software engineering,...
41 months ago

Almost all organisations are adopting emerging technologies such as machine learning and data science. Apache Scalable Advanced Massive...
66 months ago