A crosstab query summarizes a large amount of data in a small space so that it is easy to read
a. true
b. false
Answer: a. true
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We can represent a data set as a collection of object nodes and a collection of attribute nodes, where there is a link between each object and each at- tribute, and where the weight of that link is the value of the object for that attribute. For sparse data, if the value is 0, the link is omitted. Bipartite clustering attempts to partition this graph into disjoint clusters, where each cluster consists of a set of object nodes and a set of attribute nodes. The objective is to maximize the weight of links between the object and attribute nodes of a cluster, while minimizing the weight of links between object and attribute links in different clusters. This type of clustering is also known as co-clustering since the objects and attributes are clustered at the same time.
(a) How is bipartite clustering (co-clustering) different from clustering the sets of objects and attributes separately? (b) Are there any cases in which these approaches yield the same clusters? (c) What are the strengths and weaknesses of co-clustering as compared to ordinary clustering?
Given the following declaration, where is the value 77 stored in the scores array?
int scores[] = {83, 62, 77, 97, 86} a. scores[0] b. scores[1] c. scores[2] d. scores[3] e. scores[5]
In Excel, you can reduce the total width of a(n) ________ by adjusting the column widths
Fill in the blank(s) with correct word
Which of the following is NOT one of the four main sections of the taskbar?
A) the notification area B) the Start button C) the Quick Launch toolbar D) the Shutdown button