What is an application of K-Means clustering?Answer areaPredicting stock pricesCustomer segmentationSentiment analysisReal-time prediction
Question
What is an application of K-Means clustering?Answer areaPredicting stock pricesCustomer segmentationSentiment analysisReal-time prediction
Solution
One of the main applications of K-Means clustering is Customer Segmentation. This is a popular technique in marketing where the customer base is segmented or divided into groups based on common characteristics such as age, gender, interests, spending habits etc. K-M
Similar Questions
Which of the following is a common application of K-Means clustering?Answer areaImage compressionPredicting stock pricesSpam filteringSentiment analysis
Question 1Which of the following is an application of clustering?1 pointPrice estimationSales predictionCustomer churn predictionCustomer segmentation
.......................application of cluster analysis is in customer segmentation and estimation of its sizesa.marketingb.sellingc.buyingd.forcasting
Question 1The objective of k-means clustering is:1 pointSeparate dissimilar samples and group similar onesMinimize the cost function via gradient descentYield the highest out of sample accuracyMaximize the number of correctly classified data points
What is the main goal of the k-means algorithm?Select one:a.To discover patterns or relationships within a datasetb.To partition a dataset into a specified number of clustersc.To classify data into predefined categoriesd.To predict the value of a continuous target variable
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.