### Some articles on *data, data points, points, data point, point*:

Least Absolute Deviations - Other Properties

... In the case of a set of (x,y)

... In the case of a set of (x,y)

**data**, the least absolute deviations line will always pass through at least two of the**data points**, unless there are multiple solutions ... each of which passes through at least two**data points**... least one optimal regression surface will pass through k of the**data points**...Geometric Hashing

... a method for efficiently finding two-dimensional objects represented by discrete

... a method for efficiently finding two-dimensional objects represented by discrete

**points**that have undergone an affine transformation, though extensions exist to some other object representations and transformations ... are encoded by treating each pairs of**points**as a geometric basis ... The remaining**points**can be represented in an invariant fashion with respect to this basis using two parameters ...The Nethernet - Game Experience

... of the HUD and through increased web browsing, players lose or gain

... of the HUD and through increased web browsing, players lose or gain

**data points**...**Data points**allow users to buy different types of tools which can enhance the previously mentioned features of the HUD ... In addition, accumulated**data points**allow users to select a character type ...BIRCH (data Clustering) - BIRCH Clustering Algorithm

... Given a set of N d-dimensional

... Given a set of N d-dimensional

**data points**, the clustering feature of the set is defined as the triple, where is the linear sum and is the square sum of**data points**... of the dataset because each entry in a leaf node is not a single**data point**but a subcluster ... In the algorithm in the first step it scans all**data**and builds an initial memory CF tree using the given amount of memory ...Locality-sensitive Hashing - LSH Algorithm For Nearest Neighbor Search

... In the preprocessing step we hash all

... In the preprocessing step we hash all

**points**from the**data**set into each of the hash tables ... Given a query**point**, the algorithm iterates over the hash functions ... For each considered, it retrieves the**data points**that are hashed into the same bucket as ...### Famous quotes containing the words points and/or data:

“We only part to meet again.

Change, as ye list, ye winds: my heart shall be

The faithful compass that still *points* to thee.”

—John Gay (1685–1732)

“This city is neither a jungle nor the moon.... In long shot: a cosmic smudge, a conglomerate of bleeding energies. Close up, it is a fairly legible printed circuit, a transistorized labyrinth of beastly tracks, a *data* bank for asthmatic voice-prints.”

—Susan Sontag (b. 1933)

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