Tag: K-means Clustering
Difference between K-means and DBSCAN clustering?
Clustering involves grouping data points by similarity. In unsupervised machine learning, for example, data points are grouped into clusters depending on the information available in the dataset. The data items in the same clusters are similar to each other, while the items in different clusters are dissimilar. KMeans and DBScan represent 2 of the most…
Read MoreImportant Supervised and Unsupervised Algorithms for Machine Learning
Machine learning is a branch of computer science and artificial intelligence that allows machines to learn automatically without special programming. It involves using algorithms and statistical models to analyze and interpret data and make predictions based on that analysis. Machine learning can be broadly divided into two types of algorithms: supervised and unsupervised. In this…
Read MoreWhat is Supervised Learning?
Supervised learning is a type of machine learning where a computer is taught using examples of real data and “known” data, where the teacher knows the correct answer and teaches someone else. Learning can take any form, from simple human feedback or input to a more complex model that predicts the outcome of future events.…
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