Data Warehousing and Data MiningTU Board 2081
Using k means++ algorithm and Euclidean distance, find the initial 3 cluster centroids from A1 = (3, 11), A2 = (3, 6), A3 = (9, 5), A4 = (6, 9), A6 = (7, 5), A7 = (2, 3), A8 = (5, 10). Choose (3,…
5Using k-means++ algorithm and Euclidean distance, find the initial 3 cluster centroids from A1 = (3, 11), A2 = (3, 6), A3 = (9, 5), A4 = (6, 9), A6 = (7, 5), A7 = (2, 3), A8 = (5, 10). Choose (3, 11) as one of the initial centroids.
A worked answer is on its wayMeanwhile, read the Data Warehousing and Data Mining notes for this topic.
Discussion
Loading…
More Data Warehousing and Data Mining questions
Define strong association rule. What are the limitations of Apriori algorithm? Create a FP tree from the following data set. TID List of Items T1 A, B, C T2…TU Board 208210What is the role of Laplace smoothing? Create a decision tree from the following data set using ID3 as attribute selection approach. Object A1 A2 Class 1 T T…TU Board 208210Consider the data set (6,3), (7,2), (4,8), (2,2), (0,2), (9,0). Taking k=3, show the result after first iteration using k means algorithm. For choosing…TU Board 208210Explain about data mining primitives.TU Board 20825Define support vector. Write the algorithm for back propagation for classification.TU Board 20825What is data mart? Why do we need multidimensional data model?TU Board 20825