Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is
not an exception and is now facing a deluge of data. For galaxies, the one-century old …

Clustering is a process of keeping similar data into groups. Clustering is an unsupervised
learning technique as every other problem of this kind; it deals with finding a structure in a …

Sažetak Today all business organizations are adopting data driven strategies to generate
more revenue out of their business. Growing startups are investing a lot of money in data …

The effective modelling of high-dimensional data with hundreds to thousands of features
remains a challenging task in the field of machine learning. This process is a manually …

Advancements in the field of next generation sequencing (NGS) have generated vast
amounts of data for the same set of subjects. The challenge that arises is how to combine …

Context. The chemical tagging technique is a promising approach to reconstructing the
history of the Galaxy by only using stellar chemical abundances. Multiple studies have …

The objective of this study was to apply cluster analysis or also known as clustering on
poverty data of provinces all over Indonesia. The problem was that the decision makers such …

Data mining is the process of analyzing data and discovering useful information. Sometimes
it is called knowledge Discovery. Clustering refers to groups whereas data are grouped in …

One of the computer-aided technologies that is growing at a very fast speed is medicine.
Lots of research has already been done in which the nature of medical data was studied …

Short text clustering has great challenges due to the structural reasons, especially when
applied to small datasets. Limited number of words leads to a poor-quality feature vector …