- cluster algorithm
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cluser algoritam
English-Croatian dictionary. 2013.
cluster algorithm
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Cluster analysis — The result of a cluster analysis shown as the coloring of the squares into three clusters. Cluster analysis or clustering is the task of assigning a set of objects into groups (called clusters) so that the objects in the same cluster are more… … Wikipedia
Cluster headache — Classification and external resources The Cluster Headache by JD Fletcher ICD 10 G44 … Wikipedia
Cluster labeling — is closely related to the concept of text clustering. This process tries to select descriptive labels for the clusters obtained through a clustering algorithm such as Flat Clustering and Hierarchical Clustering. For example, a cluster of… … Wikipedia
Cluster-weighted modeling — In statistics, cluster weighted modeling (CWM) is an algorithm based approach to non linear prediction of outputs (dependent variables) from inputs (independent variables) based on density estimation using a set of models (clusters) that are each … Wikipedia
Cluster state — In quantum information and quantum computing, a cluster state is a type of highly entangled state of multiple qubits. Cluster states are generated in lattices of qubits with Ising type interactions. A cluster C is a connected subset of a d… … Wikipedia
Cluster assumption — The cluster assumption is a type of data modeling used in machine learning specifically in Supervised learning and Semi supervised learning. It states that if points are in the same cluster, they are likely to be of the same class.[1] There may… … Wikipedia
Cluster-Analyse — Unter Clusteranalyse (der Begriff Ballungsanalyse wird selten verwendet) versteht man strukturentdeckende, multivariate Analyseverfahren zur Ermittlung von Gruppen (Clustern) von Objekten, deren Eigenschaften oder Eigenschaftsausprägungen… … Deutsch Wikipedia
Nearest-neighbor chain algorithm — In the theory of cluster analysis, the nearest neighbor chain algorithm is a method that can be used to perform several types of agglomerative hierarchical clustering, using an amount of memory that is linear in the number of points to be… … Wikipedia
CURE data clustering algorithm — CURE (Clustering Using REpresentatives) is an efficient data clustering algorithm for large databases that is more robust to outliers and identifies clusters having non spherical shapes and wide variances in size. Contents 1 Drawbacks of… … Wikipedia
K-means algorithm — The k means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural… … Wikipedia
OPTICS algorithm — OPTICS ( Ordering Points To Identify the Clustering Structure ) is an algorithm for finding density based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans Peter Kriegel and Jörg Sander[1]. Its basic idea is… … Wikipedia
