CD

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Related to cluster: Cluster analysis, Cluster Headaches

certificate of deposit (CD)

n. a document issued by a bank in return for a deposit of money which pays a fixed interest rate for a specified period (from a month to several years). Interest rates on CD's are usually higher than savings accounts because banking institutions require a commitment to leave money in the CD for a fixed period of time. Often there is a financial penalty (fee) for cashing in a CD before the pledged time runs out.

References in periodicals archive ?

That is, all nodes in a cluster should get the same election result.

All members in a cluster contribute to the generation of the common random value by generating and distributing their own random value.

Securing cluster formation and cluster head elections in wireless sensor networks

The amendments introduced two new concepts - the SME cluster company, which a legal entity that has received a special certificate is eligible to become, and SME cluster members, which legal entities or individuals who received a special certificate and signed a contract with a cluster company are eligible to become.

Criteria for members of clusters of small and medium enterprises (SMEs) will be defined in Azerbaijan, Natig Hasanov, first deputy chairman of the board of the Agency for the Development of Small- and Medium-sized Businesses, told reporters, Trend reports.

Criteria for members of SME clusters to be defined in Azerbaijan

Conventional cluster ensemble approaches have several limitations: (1) they do not consider how to make use of prior knowledge given by experts, which is represented by pairwise constraints.

High dimensional data partitioning with an adaptive ensemble construction and analysis scheme

The commonly used seismicity partitioning methods include the K-Means cluster, the hierarchical cluster, the self-organizing maps (SOM), the fuzzy cluster, the Gaussian mixture model (GMM), the density-based clustering algorithm (DBSCAN), and some other cluster means, which have been listed in Table 1.

K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China)

Partitioning methods [8] aim to organize data into a number of distinct clusters, such that the total deviation of the data points from the cluster centers is minimized.

Interactive K-Means Clustering Method Based on User Behavior for Different Analysis Target in Medicine

It is an unsupervised organization of patterns into sets called clusters; where a cluster is collection of items which are similar to items in same clusters and are different to the items belonging to other clusters (Velmurugan, 2012).

AN AVERAGE-BASED APPROACH FOR INITIAL CENTROID SELECTION IN K-MEANS ALGORITHM

First, most existing schemes focus on 1-hop clustering; however, d-hop clustering is capable of providing improved and reliable performance for VANETs with better cluster stability and lower cluster dynamics [6].

Distributed and weighted clustering based on d-hop dominating set for vehicular networks

(2) It is sensitive to selection of the initial cluster centers.

Nonuniform Sparse Data Clustering Cascade Algorithm Based on Dynamic Cumulative Entropy

Hard clustering approach [3], [4], clusters the vehicles based on their locations and the vehicles in the boundary region are not precisely allocated to be in the appropriate cluster.