K-Means Algorithm The unsupervised learning looks for previously undetected pattern/insight with minimum supervision in a dataset with no pre-existing labels such as unstructured data.K-means clustering is a type of unsupervised learning. The goal of K-means algorithm is to find groups in data, with the number of groups represent by the variable K.The algorithm works iteratively to…
Month: June 2020
Unsupervised Machine Learning: Social Network Analysis with Graph Analytics
Unsupervised Learning: Social Network Analysis with Graph Analytics A picture speaks a thousand words is one of the most commonly used phrases. But a graph speaks so much more than that. A visual representation of data, in the form of graph, helps us gain actionable insights and make better data driven decisions based on them.But to…
Unsupervised Machine Learning: Image compression using K-Means Cluster Algorithm
Image compression using K-Means Cluster Algorithm Most of us are used to working with structured data that fits neatly within fixed row and columns in relational database and spreadsheet as the examples. However, more than 90% of data generated today is considered unstructured, and this number will continue to rise with the prominence of Internet…