Slink - definitie. Wat is Slink
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Wat (wie) is Slink - definitie

METHOD OF CLUSTER ANALYSIS WHICH SEEKS TO BUILD A HIERARCHY OF CLUSTERS
Hierarchical Clustering; Agglomerative hierarchical clustering; Hierarchical Cluster Analysis; Hierarchical cluster analysis; SLINK; Agglomerative clustering; Divisive clustering; Hierarchical agglomerative clustering
  • R]]). [https://cran.r-project.org/web/packages/dendextend/vignettes/Cluster_Analysis.html Source]
  • Orange data mining suite]].

slink         
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Hierarchical Clustering; Agglomerative hierarchical clustering; Hierarchical Cluster Analysis; Hierarchical cluster analysis; SLINK; Agglomerative clustering; Divisive clustering; Hierarchical agglomerative clustering
(slinks, slinking, slunk)
If you slink somewhere, you move there quietly because you do not want to be seen.
He decided that he couldn't just slink away, so he went and sat next to his wife.
= sneak
VERB: V adv/prep
slink         
ONLINE MAGAZINE
Hierarchical Clustering; Agglomerative hierarchical clustering; Hierarchical Cluster Analysis; Hierarchical cluster analysis; SLINK; Agglomerative clustering; Divisive clustering; Hierarchical agglomerative clustering
v. (P; intr.) to slink through the bushes
slink         
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Hierarchical Clustering; Agglomerative hierarchical clustering; Hierarchical Cluster Analysis; Hierarchical cluster analysis; SLINK; Agglomerative clustering; Divisive clustering; Hierarchical agglomerative clustering
v. n.
Sneak, skulk, steal away, slip away.

Wikipedia

Hierarchical clustering

In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two categories:

  • Agglomerative: This is a "bottom-up" approach: Each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy.
  • Divisive: This is a "top-down" approach: All observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.

In general, the merges and splits are determined in a greedy manner. The results of hierarchical clustering are usually presented in a dendrogram.

The standard algorithm for hierarchical agglomerative clustering (HAC) has a time complexity of O ( n 3 ) {\displaystyle {\mathcal {O}}(n^{3})} and requires Ω ( n 2 ) {\displaystyle \Omega (n^{2})} memory, which makes it too slow for even medium data sets. However, for some special cases, optimal efficient agglomerative methods (of complexity O ( n 2 ) {\displaystyle {\mathcal {O}}(n^{2})} ) are known: SLINK for single-linkage and CLINK for complete-linkage clustering. With a heap, the runtime of the general case can be reduced to O ( n 2 log n ) {\displaystyle {\mathcal {O}}(n^{2}\log n)} , an improvement on the aforementioned bound of O ( n 3 ) {\displaystyle {\mathcal {O}}(n^{3})} , at the cost of further increasing the memory requirements. In many cases, the memory overheads of this approach are too large to make it practically usable.

Except for the special case of single-linkage, none of the algorithms (except exhaustive search in O ( 2 n ) {\displaystyle {\mathcal {O}}(2^{n})} ) can be guaranteed to find the optimum solution.

Divisive clustering with an exhaustive search is O ( 2 n ) {\displaystyle {\mathcal {O}}(2^{n})} , but it is common to use faster heuristics to choose splits, such as k-means.

Hierarchical clustering has the distinct advantage that any valid measure of distance can be used. In fact, the observations themselves are not required: all that is used is a matrix of distances.

Voorbeelden uit tekstcorpus voor Slink
1. There are no male employees here, no men at all except for the dads–to–be who occasionally slink in, drop $26' on a "Baby Me" package, slink out.
2. He cannot slink off the stage surreptitiously, as lesser mortals might.
3. In fact, he has never been a man to slink away or to fester.
4. They do not simply slink away from crime, defeated by the system÷ they have actively chosen a new life.
5. "You know," he said, "you‘re black!" Every head swiveled toward me, but I didn‘t slink in my chair or cringe from embarrassment.