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**1 - 2**of**2**### Using Data Compressors to Construct Order Tests for Homogeneity and Component

"... Nonparametric order tests for homogeneity and component independence are proposed, which are based on data compressors. For homogeneity testing the idea is to compress the word obtained by ordering the combined samples and writing the number of the sample in place of each element. H0 should be rejec ..."

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Nonparametric order tests for homogeneity and component independence are proposed, which are based on data compressors. For homogeneity testing the idea is to compress the word obtained by ordering the combined samples and writing the number of the sample in place of each element. H0 should be rejected if the string is compressed to a certain degree and accepted otherwise. We show that such a test obtained from an ideal data compressor is valid against all alternatives. Component independence is reduced to homogeneity testing.

### An Effective Algorithm for Clustering Time-Series Data by Fuzzy Logic

, 2011

"... A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria are bounded by a specified threshold value, such as the LCSS technique, have been shown to be robust in the presence of noise, time shifts, and ..."

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A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria are bounded by a specified threshold value, such as the LCSS technique, have been shown to be robust in the presence of noise, time shifts, and data scaling. Afterwards, by utilizing an efficient method, clusters are updated incrementally and periodically through a set of fuzzy approaches. So, in this paper, we utilize the clustering of time series data using LCSS and Fuzzy Logic. In addition, we will present the benefits of the proposed system by implementing a real application: using dataset that contains two attributes temperature and humidity.