To exploit a heterogeneous computing (HC) environment, an application task may be decomposed into subtasks that have data dependencies. Subtask matching and scheduling consists of assigning subtasks to machines, ordering subtask execution for each machine, and ordering intermachine data transfers. T
โฆ LIBER โฆ
A novel clustering algorithm using hypergraph-based granular computing
โ Scribed by Qun Liu; XiaoFeng Liao; Yu Wu
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 279 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
โฆ Synopsis
Clustering is an important technique in data mining. In this paper, we introduce a new clustering algorithm. This algorithm, based on granular computing, constructs a hypergraph (simplicial complex) by the hypergraph bisection algorithm. It will discover the similarities and associations among documents. In some experiments on Web data, the proposed algorithm is used; the results are quite satisfactory.
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