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The comparison of SOM with hierarchical clustering methods shows that an SOM is superior in both robustness and accuracy [51] However, as K-means clusters, an SOM requires the value of parameter k to be prespeci ed RF clustering is based on an RF predictor that is a collection of individual classi cation trees After an RF is constructed, the similarity measure between two samples can be de ned as the number of times a tree predictor places the two samples in the same terminal node This similarity measure can be used to cluster gene expression data [52] It was demonstrated that the RF-based clustering of gene pro les is superior compared to the standard Euclidean distance measure [53] Other advanced techniques proposed for clustering gene expression data include the mixture model approach [54], the shrinkage-based similarity procedure [55], the kernel method [56], and bootstrapping analysis [57] 435.

After you have disowned a process, you can close the shell without also killing the process. NOTE With fg, bg, or disown, if you don t indicate which process to act on, the current job is used. The current job has a plus sign (+) next to it. The fg and bg commands manipulate running processes by moving those processes to the foreground or background. Another way to manipulate running commands is to send signals directly to those processes. A common way to send signals to running processes is with the kill and killall commands.

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3 Distance of Gene Expression Pro le Clusters There are many ways to measure the distance between gene expression pro les and clusters of gene expression pro les The Pearson correlation coef cient and the Euclidean distance are often used for well-normalized microarray data sets However, microarray gene expression pro les contain noise and outliers Nonparametric distance measures provide a way to avoid these problems For instance, the Spearman correlation replaces gene expression values with their ranks before measuring the distance Average linkage, single linkage, and complete linkage are commonly used to measure the distances between clusters of gene expression pro les Average linkage.

Many methods can be used for testing and monitoring electromigration [143 151]. Two techniques used frequently employ resistance measurement and noise measurement though the latter is rather dif cult in practice. 5.1.4.1 Resistance Measurement In general, when an open-circuit failure occurs, the resistance goes up, whereas when a short-circuit failure occurs, the resistance goes down. Therefore, by measuring the resistance, one can check whether electromigration has taken place. The MTF can be determined by nding the time during which the ratio of the change of resistance to the original resistance reaches a certain value. Rodbell and Shatynski used the ratio of 0.5 because this value corresponds to the transition from predominantly electromigration to predominantly thermomigration [144]. A standard method of evaluation for VLSI interconnections using this approach is called accelerated testing, in which high current density and high temperature are applied to the metallization lines [144]. The technique results in the reduction of the complicated testing work and it is widely used in studying electromigration.

elect themselves to be local cluster heads at any given time with a certain probability. These cluster head nodes broadcast their status to the other sensors in the network. Each sensor node determines to which cluster it wants to attach itself by choosing the cluster head that requires the minimum communication energy. Once all the nodes are organized into clusters, each cluster head creates a schedule for the nodes in its cluster. This allows the radio components of each non-cluster head node to be turned off at all times except during each node s transmit time, thus the energy dissipated is minimized. Once the cluster head has all the data from the nodes in its cluster, the cluster head node aggregates the data and then transmits the compressed data to the base station. However, being a cluster head drains the battery of that node. In order to spread this energy usage over multiple nodes, the cluster head nodes are not xed. The decision to become a cluster head depends on the amount of energy left

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