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 MoreWhat are the most important supervised and unsupervised algorithms?
Supervised Learning algorithms: K-nearest neighbors Linear regression Naïve Bayes Support vector machines Logistic regression Decision trees and random forests K-nearest neighbors: K-nearest neighbors is a Machine learning technique which comes under supervised learning. This technique can be used for classification or regression problems. In supervised learning, we need to specify a target value for the…
Read MoreWhat is Supervised Learning?
Supervised learning is when you have a teacher that has knowledge of the correct answer and is teaching someone else. This teaching can take any form, from simple human feedback or input to a more complex model that predicts the outcome of future events. Supervised learning requires two things: -Training data: The data is used…
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