## What is/are Block Cluster?

Block Cluster - The Bluetooth positioning and feature clustering of university smart library books are realized by using grid block clustering analysis method, and the optimization construction of Bluetooth positioning of university smart library books is realized by combining RFID.^{[1]}It is a kind of non-volatile memory (NVM), which consists of data block clusters (DBCs) and access ports.

^{[2]}Feature extraction concepts and statistical classifiers began to be used in computer-aided detection and diagnosis, and many different feature learning techniques such as principal component analysis, image block clustering and dictionary methods are very popular.

^{[3]}This paper shows that, with the EUM cluster method, urban planners can effectively and efficiently identify and analyze the morphological features of self-defined block clusters for their planning purposes.

^{[4]}This paper presents a novel block clustering heuristic capable of considering and honoring a set of mining block aggregation requirements and constraints.

^{[5]}A stochastic method based on harmonic series was developed starting from the real blocks, allowing the generation of random block clusters with characteristics similar to the original ones.

^{[6]}Proposed method includes the following steps: (1) convert the color image into gray-scale image, (2) divide the gray-scale image into overlapping blocks of size 8 × 8, (3) feature extraction using DCT on the basis of different feature sets, (4) block clustering using K-means algorithm, and (5) radix sort for feature matching.

^{[7]}Simulation results confirm the effectiveness of proposed block clustering precoding scheme compared to conventional hybrid beamforming scheme.

^{[8]}In the CTSDA, the block clustering algorithm is employed to generate several high-order clustering tensors of multifeature SAR images, which preserves the intrinsic nonlocal spatial information and neighborhood structure.

^{[9]}The block clustering method was applied to more than 220,000 crash records with nearly 200 attributes.

^{[10]}Starting with Block Clustering algorithm in 1972 until now, a good number of the biclustering algorithms have been introduced.

^{[11]}In the paper, a review on block cluster based routing schemes for WSNs has been made.

^{[12]}Losartan has been proposed to block clustering of GPVI but not to affect binding of collagen.

^{[13]}Aims and Objectives To analyze the measures effectiveness to maintain reservoir pressure at Potochnoe oil field: o by sources of flooding, volumes of injected water and low-pressure water lines; o at block cluster pump stations; o on high-pressure water lines; o on injection wells.

^{[14]}In this article, a latent block distance-association model is proposed to apply block clustering to the outcomes of two categorical variables while the cluster centers are represented in a low dimensional space in terms of a distance-association model.

^{[15]}We analyze models with an infinite array of regularly spaced blocks, two- and three-block clusters, and irregularly spaced blocks.

^{[16]}In our observations we found that our proposed model performs significantly better than some of the baseline approaches based on spectral clustering algorithm, modularity maximization, block clustering and non-negative matrix factorization.

^{[17]}A new circuit block clustering technique has been introduced with the help of design hierarchy, pin offset and pin direction information.

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