Sentence examples for extraction and clustering from inspiring English sources

Patent abstracts containing the keyword and phrase "RFID" and "Radio Frequency Identification" were collected for analysis, content extraction, and clustering.

There are ongoing works done to improve Document Clustering techniques such as Extractions and Clustering approaches to overcome the difficulty in designing a general purpose document clustering for crime investigation and the ill posed problem of extraction and clustering.

In this paper, we introduce DayFilter, a day-typing process that uses Symbolic Aggregate approXimation (SAX), motif and discord extraction, and clustering to detect the underlying structure of building performance data.

In reference [76], for the characteristics of short texts, a feature extraction and clustering algorithm based on deep noise autoencoder is brought forward.

We pose the widely used bag-of-visual-words (BoVW) [5] method as a neural network, which allows it to refine the feature extraction and clustering functions by backpropagating the classification error.

In the particular case presented in this work, this layer contains agents for normalization and segmentation, knowledge extraction, and clustering.

Experimental results show that the proposed approach works well for several combinations of feature extraction techniques and clustering algorithms, suggesting a promising avenue for future improvements, such as the addition of a top-down component and the inclusion of a relevance feedback mechanism.

The salient, time-varying pattern of wind power has been extracted by feature extraction and cluster technology.

The conclusions are summarised as follows: 1) The salient, time-varying pattern of wind power has been extracted by feature extraction and cluster technology.

Jiang et al. [ 3] proposed a WBC segmentation scheme on color space images using feature space clustering techniques, scale-space filtering for nucleus extraction, and watershed clustering for cytoplasm extraction.

Focusing on Bodhisattva head images, this paper proposes a two-step recognition method for their modeling style: feature extraction utilizing VGGNet1 and clustering with K-means algorithm.