Listening to a lecture is not an effective retention and performance training method for many learners.
Answer the following statement true (T) or false (F)
True
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Use the similarity matrix in Table 8.1 to perform single and complete link hierarchical clustering. Show your results by drawing a dendrogram. The dendrogram should clearly show the order in which the points are merged.
(b) Do both sets of centroids represent stable solutions; i.e., if the K-means
algorithm was run on this set of points using the given centroids as the
starting centroids, would there be any change in the clusters generated?
(c) What are the two clusters produced by single link?
(d) Which technique, K-means or single link, seems to produce the “most
natural” clustering in this situation? (For K-means, take the clustering
with the lowest squared error.)
(e) What definition(s) of clustering does this natural clustering correspond
to? (Well-separated, center-based, contiguous, or density.)
(f) What well-known characteristic of the K-means algorithm explains the
previous behavior?
Case EX 3-1Vanessa is learning how to split a worksheet window.To resize the panes, what should Vanessa do?
A. Zoom in prior to splitting the windows B. Drag the split bar C. Zoom out prior to splitting the windows D. Drag the merge bar
Finish the Joe the Box example.
(a) Implement grow and move. The method move takes as input a relative distance like (?10,15) to move 10 pixels left (x position) and 15 pixels down (y position). (b) Draw patterns by creating joe and jane, then move a little and draw, grow a little and draw, then repaint the new canvas.
Match the following technology with the company that developed it:
I. DLP II. ASIMO III. FireWire IV. Snipping Tool V. wireless controller for virtual games A. Honda B. Microsoft C. Nintendo D. Apple E. Texas Instruments