Noun:

ਚਰਬੀ,

clustering's Usage Examples:

A higher clustering coefficient indicates a greater "cliquishness".

Each group is represented by its centroid point, as in k-means and some other clustering algorithms.

indicates a dissected arc, and clustering near the L pole indicates an undissected, or new arc.

In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis which seeks to.

{\displaystyle {\mathcal {O}}(n^{2})} ) are known: SLINK for single-linkage and CLINK for complete-linkage clustering.

The computer clustering approach usually (but not always) connects a number of readily available.

The view that, while geographic clustering of biological traits does exist, this does not lend biological validity to racial groups, was proposed by several evolutionary anthropologists and geneticists prior to the publication of Edwards' critique of Lewontin.

frequently used in different contexts: in hierarchical clustering, it illustrates the arrangement of the clusters produced by the corresponding analyses.

The clustering illusion and the Texas sharpshooter fallacy may both be treated as relatives of precision bias.

Unfortunately, this will be very insensitive to large scale structures such as clustering as well as observational selection effects, and will not give a very accurate result.

Furthermore, hierarchical clustering can be agglomerative (starting with single elements and aggregating them into clusters) or.

The larvae of some species have anti-predator adaptations such as regurgitating irritating liquid and clustering together for safety in numbers.

Typically, constrained clustering incorporates either a.

Synonyms:

bunch, clump, cluster, tussock, swad, knot, agglomeration, tuft,

Antonyms:

untie, smoothness, unravel, untwine, unknot,