It is an unsupervised clustering algorithm whose objective is to group the input data into K distinct classes. The algorithm is based on defining K centroids in the dimensional space of the input data, and iteratively adjusting their positions. As a result, the data space is divided into K Voronoi cells (one per centroid), and each input observation can be associated with the nearest centroid.
5 Big Data challenges can be highlighted which are defined as V (volume, velocity, veracity, variety and value). R. Narasimhan discussed 3V with [...]Read More »
What is Digital Transformation? The industrial revolution profoundly changed the society of the 19th century, but the digital transformation of the [...]Read More »
GAMCO's forecasts point to an increase of at least 10% in the percentage of "non-performing loans" to individuals over the next five years.Read More »
AI technologies are currently being used in companies to transform business processes, boost customer interaction and improve customer service.Read More »