Given the following data points, use the K-Means algorithm to
cluster them into
2 clusters. Use (31,32) as the centroid of the first cluster and
(34,24) as the
centroid of the second cluster. Show your calculations and the
final clusters.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
x | 11 | 11 | 15 | 20 | 25 | 26 | 31 | 34 | 40 | 43 |
y | 6 | 38 | 18 | 40 | 24 | 8 | 32 | 24 | 41 | 47 |
Given the following data points, use the K-Means algorithm to cluster them into 2 clusters. Use...
Question Given the following data points, use the K-Means algorithm to cluster them into 2 clusters. Use (31,32) as the centroid of the first cluster and (34,24) as the centroid of the second cluster. Show your calculations and the final clusters. 1 2 3 4 5 6 7 8 9 10 x 11 11 15 20 25 26 31 34 40 43 y 6 38 18 40 24 8 32 24 41 47
Consider the graph given above. Use Dijkstra's algorithm to find the shortest path between B and O. a. List the vertices in the order they are visited as specified by the algorithm. b. What is the total weight along the path? 52 41 G 26 14 H 12 50 35 44 15 9 47 8 37 38 42 29 H 32 51 30 19 46 48 43 18 34 17 0 13 F 52 41 G 26 14 H 12...
1. Implement the K-means algorithm using these two as a reference. 2.Use Matlab’s implementation of kmeans to check your results on the fisheriris dataset (https://www.mathworks.com/help/stats/kmeans.html) a. The fisheriris dataset is built into Matlab, and you can load it using ‘load fisheriris’. b. Please note the labels are available for the dataset, so you can check the performance of the kmeans algorithm on the dataset. 274 14 Unsupervised Lnn Fig. 14.1 A two-dimensional domain with clusters of examples weight bot initial...
Hierarchical clustering is sometimes used to generate K clusters, K > 1 by taking the clusters at the Kth level of the dendrogram. (Root is at level 1.) By looking at the clusters produced in this way, we can evaluate the behavior of hierarchical clustering on different types of data and clusters, and also compare hierarchical approaches to K-means. The following is a set of one-dimensional points: {6, 12, 18, 24, 30, 42, 48}. (a) For each of the following...
These are my instructions: Your data should have been read in from the data file and stored into an array. Next you need to calculate the following and display in a single Message box: Average score Highest score Lowest score Mode of the scores Your program should be written using methods and should be well documented internally and externally. Your output should be displayed using Message boxes. This is the .text file to use with the instructions: 20 21 22...
Sample Data Sample Data Hour Sample Taken Hour Sample Taken 1 4 5 X 1 3 1 42 2 3 4 5 6 2 39 36 25 60 28 53 22 56 41 34 43 45 59 42 36 40 45 39 48 26 42 34 61 48 45 29 3 31 61 38 40 54 26 38 42 37 41 53 37 47 41 37 29 20 26 43 38 33 37 37 35 33 36 41 25 37...
Here are the data from a study in which adolescents were given counseling at the beginning of the school year to see if it had a positive impact on their tolerance for adolescents who were ethnically different from them. Assessments were made right before the treatment and then 6 months later. Did the program work? The outcome variable is scored on an attitude-toward-others test with possible scores ranging from 0 to 50; the higher the score, the more tolerance. Use...
1. Given the following physical addresses and value in memory: add 0 val 9 10 11 12 13 14151611819 2021 22 23 18 24 20 32 0 40 8 32 245458 10 36 34 3230 40 35 3028 add 24 25 26 27 28 29 30 31 32 33 34 | 35 | 36 37 38 39 40 | 41 | 42 | 43 44 45 46 47 8 40 35 1614 12 12 22 24417 21 23 25 27...
1. apply k-means clustering to a dataset Task Consider the following set of two-dimensional records: RID Dimension 1 Dimension2 1 00 8 4 5 4 N 3 2 4 4 6 N 5 2. 00 6 00 8 6 Use the k-means algorithm to cluster the data in the dataset with K=3. You can assume that the records with RIDS 1, 3, and 5 are used for the initial cluster centroids (means). You must include the intermediate results in each...
You are studying an invasive insect species in the USA. Understanding where invasive species comes from can help with management (e.g., importation of native natural enemies for biocontrol). The graph below shows output from a STRUCTURE analysis of 10 microsatellite markers in 50 individuals taken from the invasive US population, and the three native countries of origin, Spain, France, and Italy. A-1pt) How many genetic groups, or clusters, were identified in the analysis? Assuming you’ve completely sampled the native range...