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Catalogue numbers from these revised editions are indicated either by parentheses or by superscript: K. 49 (47d) or K. 6 47d refers to the work numbered 47d in the sixth edition. The catalog was originally chronological , though revisions made chronological ordering of Mozart's works difficult and as of 2024 a new organizational system is used ...
In Chopin's case, at least four latter-day catalogues vie for prominence: Maurice J. E. Brown (B numbers); Krystyna Kobylańska (KK numbers); Józef Michał Chomiński, whose catalogue is segmented into six parts, each part utilising a different letter (A, C, D, E, P and S); and Chopin National Edition WN numbers. Hence, a work of Chopin can be ...
In music, the opus number is the "work number" that is assigned to a musical composition, or to a set of compositions, to indicate the chronological order of the composer's publication of that work. Opus numbers are used to distinguish among compositions with similar titles; the word is abbreviated as "Op." for a single work, or "Opp." when ...
The indication "K." or "KV" refers to Köchel Verzeichnis (Köchel catalogue), i.e. the (more or less) chronological catalogue of Mozart's works by Ludwig von Köchel.This catalogue has been amended several times, leading to ambiguity over some KV numbers (see e.g. Symphony No. 24 and Symphony No. 25, numbered K. 173dA and 173dB in the 6th edition).
As with weather radio, "K" and "W" calls are assigned on both sides of the Mississippi River. Leisure craft boats with VHF radios do not have to be assigned call signs, in which case the name of the vessel is used instead. Ships wishing to have a radio license anyway are under FCC class SA: "Ship recreational or voluntarily equipped."
In k-NN regression, also known as nearest neighbor smoothing, the output is the property value for the object. This value is the average of the values of k nearest neighbors. If k = 1, then the output is simply assigned to the value of that single nearest neighbor, also known as nearest neighbor interpolation.
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The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]