Sentence examples for available for clustering from inspiring English sources

The phrase "available for clustering" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or any situation where items or data points are being grouped or categorized.
Example: "The dataset is now available for clustering, allowing us to identify patterns and group similar data points together."
Alternatives: "ready for grouping" or "suitable for categorization.".

Exact(3)

The classification of protein families is based on homologous relationships and several methods are currently available for clustering proteins into families [2], [3].

The MCL algorithm has been shown to be the best amongst several approaches available for clustering PINs into complexes [ 29].

Dedicated tools are also available for clustering [ 36], group comparisons [ 37], and hypergeometric tests for enriched GO categories.

Similar(57)

The significance of interaction terms was assessed using the Likelihood Ratio Statistic in the model, not accounting for clustering, since an equivalent statistic is not available for clustered data.

We used two pipelines to develop EST-SSR markers, namely read2Marker [ 15] and CMiB, which combines several freely available tools for clustering and microsatellite detection (see the Methods section and Figure 1 for further details).

A number of analysis methods are available that account for clustering.

As more biological data becomes available, sophisticated methods for clustering integrated data will be necessary in order to glean more meaningful information about the underlying biology of the samples.

Most of the difficulties arise from the same properties that make clusters interesting: the ease with which their sizes and compositions are varied and the variety of structures available for clusters of almost any given size.

GFS, the Global File System from Red Hat, is a shared storage file system available for clusters.

There are 11 clustering methods available for cluster analysis in SAS software.

These statistics were employed to compare exploratory cluster solutions using four to eight cluster groups on the unweighted data, since survey procedures were not available for cluster analysis in SAS V.9.2.

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