The purpose of CA is to identify groups or clusters of similar sites on the basis of similarities within a class and dissimilarities between different classes (Sparks 2000).
They then performed K-means clustering to identify meaningful clusters of similar patients and explored the sources of similarities.
From the 28 identified motifs, clusters of similar motifs were derived based on sequence similarity (many of the shorter motifs were contained within longer motifs).
Deekshith Belchappada, Monisha Chandrashekar, and Anusha Morappanavar, evaluated alternate techniques for computing document similarity, which enables users to find clusters of similar comments and see which language from a particular comment is unique.
We defined clusters of similar earthquakes based on hypocenter separations and waveform similarities.
Bray-Curtis similarity values were calculated and used to generate dendrograms displaying hierarchical clusters of similar sites by the group averages method.
In addition, typical clusters of similar research approaches were identified.
Some corporations organize their business units into clusters of similar companies that closely coordinate.
"Most business owners would never consider moving close to a competitor, but clusters of similar businesses can have much greater clout together than they would individually," says Maureen Gori de Murden, senior economy and tourism officer at Exeter city council.
In the second approach, we used data mining clustering techniques to group the data by using the k-means algorithm to find clusters of similar solutions.
Next, we identify clusters of similar criteria sentences from both full-text and CT protocols and outline methods for standardized representation of eligibility criteria.
