﻿ "K-Means Algorithm" related terms, short phrases and links

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### DefinitionsUpDw('Definitions','-Abz-');

1. The k-means algorithm is an algorithm to cluster objects based on attributes into k partitions.

### ClusterUpDw('CLUSTER','-Abz-');

1. The K-means algorithm assigns each point to the cluster whose center (also called centroid) is nearest.

### Cluster AnalysisUpDw('CLUSTER_ANALYSIS','-Abz-');

1. The "natural drop "utilizes a k-means algorithm from cluster analysis to separate the scores into the two groups. (Web site)

### K-Means AlgorithmUpDw('K-MEANS_ALGORITHM','-Abz-');

1. For description of the k-means algorithm and clustering criteria see: Cluster Analysis Algorithms for Data Reduction and Classification of Objects.
2. Description The data given by x is clustered by the k-Means algorithm.
3. This paper proposes a new algorithm for K-medoids clustering which runs like the K-means algorithm and tests several methods for selecting initial medoids.

### CategoriesUpDw('Categories','-Abz-');

1. Information > Information Technology > Computer Science > Algorithms
2. Data Reduction
3. Computer Science > Artificial Intelligence > Data Mining > Cluster Analysis
4. Clustered
5. Description
6. Books about "K-Means Algorithm" in Amazon.com
 Short phrases about "K-Means Algorithm"   Originally created: August 16, 2007.   Links checked: February 19, 2013.   Please send us comments and questions by this Online Form   Please click on to move good phrases up.
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