We need to create the clusters, as shown below:Ĭonsidering the same data set, let us solve the problem using K-Means clustering (taking K = 2). If we plot the data, this is how it would look: The information on the y-axis is about the runs scored, and on the x-axis about the wickets taken by the players. Here, we have our data set plotted on ‘x’ and ‘y’ coordinates. Let's take a look at the steps to create these clusters. Based on this information, we need to group the data into two clusters, namely batsman and bowlers. Imagine you received data on a lot of cricket players from all over the world, which gives information on the runs scored by the player and the wickets taken by them in the last ten matches. There is a way of finding out what is the best or optimum value of K for a given data.įor a better understanding of k-means, let's take an example from cricket. For example, K = 2 refers to two clusters. You need to tell the system how many clusters you need to create. K-Means performs the division of objects into clusters that share similarities and are dissimilar to the objects belonging to another cluster. There is no labeled data for this clustering, unlike in supervised learning. K-Means clustering is an unsupervised learning algorithm. What is Meant by the K-Means Clustering Algorithm? But in c-means, objects can belong to more than one cluster, as shown. In k-means clustering, a single object cannot belong to two different clusters. Here, the features or characteristics are compared, and all objects having similar characteristics are clustered together.įuzzy c-means is very similar to k-means in the sense that it clusters objects that have similar characteristics together. Unlocking the Future: 5 Compelling Reasons to Master Machine Learning in 2023 Lesson - 37 Neural Networks: Understanding the Differences Lesson - 36 What Is Boosting in Machine Learning ?: A Comprehensive Guide Lesson - 35 Supervised Machine Learning: All You Need to Know Lesson - 33ġ0 Machine Learning Platforms to Revolutionize Your Business Lesson - 34 Top 45 Machine Learning Interview Questions and Answers for 2023 Lesson - 31Įxplaining the Concepts of Quantum Computing Lesson - 32
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