Similar concepts
Pages with this concept
| Similarity |
Page |
Snapshot |
| 177 |
important that they are quoted alongside the distribution from which they are derived
...There are a number of ways of representing sets of Z values graphically
...A more convenient way of showing retrieval results of this kind is to plot them as cumulative frequency distributions,or as they are frequently called by statisticians empirical distribution functions
...I have emphasised the measurement of effectiveness from the point of view of the user
... |
| 42 |
nice property of being invariant under one to one transformations of the co ordinates
...A function very similar to the expected mutual information measure was suggested by Jardine and Sibson [2]specifically to measure dissimilarity between two classes of objects
...Here u and v are positive weights adding to unit
...P x P x w 1 P w 1 P x w 2 P w 2 x 0,1 P x wi P x wi P x i 1,2 we recover the expected mutual information measure I x,wi
... |
| 51 |
restricting the number of clusters and by bounding the size of each cluster
...Rather than give a detailed account of all the heuristic algorithms,I shall instead discuss some of the main types and refer the reader to further developments by citing the appropriate authors
...The most important concept is that of cluster representative variously called cluster profile,classification vector,or centroid
...1 the number of clusters desired;2 a minimum and maximum size for each cluster;3 a threshold value on the matching function,below which an object will not be included in a cluster;4 the control of overlap between clusters;5 an arbitrarily chosen objective function which is optimised
...Almost all of the algorithms are iterative,i
...Probably the most important of this kind of algorithm is Rocchio s clustering algorithm [36]which was developed on the SMART project
...Most of these algorithms aim at reducing the number of passes that |
|
|
