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- cluster for data mining
SeminaronClusterComputing
- cluster technologies have been developed that allow multiple low cost computers to work in a coordinated fashion to process applications
Comparing_high_resolution_timestamps_in_computer_c
- 集群环境下CPU度量工具的比较,对于研究集成环境下CPU行为是一个很好的参考资料。-CPU cluster environment comparative measurement tool, integrated environment for the study of behavior under the CPU is a good reference.
CPU_virtualization_vane_cluster_of_green_server_te
- CPU虚拟化集群绿色服务器技术的风向标CPU virtualization vane cluster of green server technology-CPU virtualization vane cluster of green server technology
mohuchuli
- 模糊C均值聚类算法的步骤还是比较简单的，模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy c-means clustering algorithm steps it is quite simple, fuzzy c-means clustering (FCM), known as fuzzy membership ISODATA, it is to use to make sure that each data po
Analisis-Cluster-a-Representasi-Dokumen
- paper about clustering
Kernel-Function-Clustering-Based-on-Ant-Colony-Al
- Cluster analysis one of the several important tools in modern data analysis, and the clustering can be regarded as an optimization problem. The underlying assumption is that there are natural tendencies of cluster or group structure in the da
Studies-on-Fuzzy-C-Means-Based-on-Ant-Colony-Algo
- A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl
Protocols-for-Energy-Efficient-and-QoS-Aware-Comm
- --- 2008, Protocols for Energy Efficient and QoS Aware Communication in Cluster-based Wireless Sensor Networks, Unknown, Philosophy
mkclean-win32.v0.6.0
- mkclean is a command line tool to clean and optimize Matroska (.mkv / .mka / .mks / .mk3d) and WebM (.webm / .weba) files that have already been muxed. It reorders the elements with the Cues at the front, so your Matroska files are ready to be stream
MIMO-Channel-Models
- 内容包括：多天线信道和相关，相关模型，簇模型，信道探测，实验验证-Include: multi-antenna channel and the correlation model, cluster model, channel detection, experimental verification
An-Introduction-to-Parallel-and-Vector-Scientific
- In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a genera
A-new-clustering-method-to-prolong-the-lifetime-o
- One of the most critical issues in the wireless sensor networks is the network s nodes limited availability of energy. The network lifetime strictly depends on its energy efficiency. Clustering is a method to make the consumed energy efficient. LEA
Energy-Efficient-Routing-Protocol-for-Wireless.zi
- The proposed routing protocol for Wireless Sensor Network is hierarchical and cluster based. The protocol supports mobility in the Sensor Nodes as well as in the Sink. The entire protocol is described in terms of two phases namely Setup Phase and D
void-cluster
- 一篇关于Clustered dot dither的英国文章-Clustered dot dither on a British article
beach
- This paper studies LEACH protocol, and puts forward energy-LEACH and multihop-LEACH protocols. Energy-LEACH protocol improves the choice method of the cluster head, makes some nodes which have more residual energy as cluster heads in next r
leach-b
- This paper studies LEACH protocol, and puts forward energy-LEACH and multihop-LEACH protocols. Energy-LEACH protocol improves the choice method of the cluster head, makes some nodes which have more residual energy as cluster heads in next r
SECURE-LEACH-ROUTING-PROTOCOL-BASED-ON-LOW-POWER-
- SECURE LEACH ROUTING PROTOCOL BASED ON LOW-POWER CLUSTER-HEAD
OPTICS-algorithm---Wikipedia--the-free-encycloped
- 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 Jö rg Sander[1]. Its basic idea is
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- fault management. how clustering is done. how cluster head is selected.