Battery grouping is a technology widely used to improve the performance of battery packs. In this paper, we propose a time series clustering based battery grouping method. The proposed method utilizes the whole battery charge/discharge sequence for battery grouping. The time sequences are first denoised with a wavelet denoising technique. The similarity matrix is then computed with the dynamic ...

Affinity propagation based clustering algorithm will be individually placed on each and every object Specific cluster. Utilizing the subsequent clustering technique. Affinity Propagation (AP) clustering continues to be proven to work in many of clustering problems. This particular paper views the best way to utilize AP in incremental clustering problems. Firstly, we mention the problems within ...

Recently, affinity propagation (AP) was introduced as an unsupervised learning algorithm for exemplar based clustering. Here we extend the AP model to account for semisupervised clustering. AP, which is formulated as inference in a factor-graph, can be naturally extended to account for ‘instancelevel’ constraints: pairs of data points that cannot belong to the same cluster (cannotlink), or must...

The fingerprint-based wireless local area network (WLAN) positioning has gained significant interest in recent years. Indoor localization methods based on WLAN and RSS with advantage of low cost are most widely used. In this paper, we propose an improved indoor positioning method based on Affinity Propagation (AP) algorithm to obtain better accuracy: k coordinate points measured through KNN alg...

The planted (l, d) motif search (PMS) is one of the fundamental problems in bioinformatics, which plays an important role in locating transcription factor binding sites (TFBSs) in DNA sequences. Nowadays, identifying weak motifs and reducing the effect of local optimum are still important but challenging tasks for motif discovery. To solve the tasks, we propose a new algorithm, APMotif, which f...

Breast cancer has become a widespread disease around the world in young women. Expert systems, developed by data mining techniques, are valuable tools in diagnosis of breast cancer and can help physicians for decision making process. This paper presents a new hybrid data mining approach to classify two groups of breast cancer patients (malignant and benign). The proposed approach, AP-AMBFA, con...

In this paper, we propose a new method of image segmentation, named SLICAP, which combines the simple linear iterative clustering (SLIC) method with the affinity propagation (AP) clustering algorithm. First, the SLICAP technique uses the SLIC superpixel algorithm to form an over-segmentation of an image. Then, a similarity is constructed based on the features of superpixels. Finally, the AP alg...

Moving shadow detection is a challenging task in computer vision applications, such as surveillance, video conference, visual tracking, object recognition, and many other important applications. In this paper, region-based moving shadow detection using affinity propagation (RMSDAP) is presented, which detects shadows in terms of texture similarity. Firstly, we divide foreground image into no ov...