Visualization of Social Web Data - IT/Computer Science Assignment Help

Assignment Task:

Task:

High dimensional data sets A data set usually consists of a set of records, where each record has measurements over a set of dimensions. So the number of measurements is the dimensionality of the data set. For example, if the records are: people, the measurements may be height, weight, age, hair colour, etc. of each individuals. Expression of a gene in a biological sample. (>10,000 measurements) tweets, each measurement is the frequency of each known word. (>1,000,000 “measurements”) It is difficult to visualise the similarity between each record when records are represented in a high dimensional space. We will examine two ways to project these high dimensional records into a 2D space using Principal Components Analysis and Multidimensional Scaling 300958 Social Web Analytics Outline

1 Principal Components Analysis PCA on Iris PCA on Tweet

s 2 Multidimensional Scaling Distance between vectors Multidimensional scaling MDS on Tweets

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