Words similar to k-means

Example sentences for: k-means

How can you use “k-means” in a sentence? Here are some example sentences to help you improve your vocabulary:

Second, because the random initialization commonly used in k-means clustering can have a profound impact on the results [ 15], we instead chose to initialize each clustering cycle by seeding prototype centroids with the eigen vectors identified by PCA of the respective dataset (see below).
We implemented a version of the fuzzy k-means algorithm, based on a description by Gath and Geva [ 13], in a C++ program called FuzzyK (available at [ 14]; see Materials and Methods for complete details).
The fuzzy k-means clustering steps described above are repeated on this smaller dataset to identify patterns missed in the first clustering cycle, and the new centroids are added to the set identified in the first round.
Rather than the hard partitioning of standard k-means clustering, where genes belong to only a single cluster, fuzzy k-means clustering considers each gene to be a member of every cluster, with a variable degree of 'membership'.
With standard implementations of the k-means algorithm, underestimating k will result in large clusters of many genes that display divergent gene-expression patterns, while overestimating k will over-fit the data and split groups of similarly expressed genes into multiple, small clusters.