Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster
K-Means is one of the unsupervised learning and partitioning clustering algorithms. It is very popular and widely used for its simplicity and fastness. The main drawback of this algorithm is that user should specify the number of cluster in advance. As an iterative clustering strategy, K-Means algor...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/6871/1/Max-D_clustering_K-means_algorithm_for_Autogeneration.pdf http://umpir.ump.edu.my/id/eprint/6871/ http://onlinepresent.org/proceedings/vol7_2012/3.pdf |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|