Aiming to solve the problem that photovoltaic power generation is always accompanied by uncertainty and short-term prediction accuracy of (PV) not high, this paper proposes a method for forecasting (PPF) analysis using fuzzy-c-means (FCM), whale optimization algorithm (WOA), bi-directional long memory (BILSTM), no-parametric kernel density estimation (NPKDE). First, principal component (PCA) us...

Aiming at partitioning an image into homogeneous and meaningful regions, automatic image segmentation is a fundamental but challenging problem in computer vision. It is well known that Fuzzy c-means (FCM) algorithm is one of the most popular methods for image segmentation. However, the FCM-based image segmentation algorithm must be manually estimated to determine cluster number by users. In thi...

Wujiang River, one of the main branches of the Beijiang River in South China, is frequently suffered from flood disasters. Flood clustering becomes one of the critical sub-issues for realizing the different types of flood features. This paper attempts to put forward a flood clustering approach for flood feature identification which is important to the flood risk management and flood forecasting...

Fuzzy C-means (FCM) clustering has been widely used successfully in many real-world applications. However, the FCM algorithm is sensitive to the initial prototypes, and it cannot handle non-traditional curved clusters. In this paper, a multi-center fuzzy C-means algorithm based on transitive closure and spectral clustering (MFCM-TCSC) is provided. In this algorithm, the initial guesses of the l...

Some of the well-known fuzzy clustering algorithms are based on Euclidean distance function, which can only be used to detect spherical structural clusters. Gustafson-Kessel clustering algorithm and Gath-Geva clustering algorithm were developed to detect non-spherical structural clusters. However, the former needs added constraint of fuzzy covariance matrix, the later can only be used for the d...

Pattern recognition is the science of data structure and its classification. There are many classification and clustering methods prevalent in pattern recognition area. In this research, rainfall data in a region in Northern Iran are classified with natural breaks classification method and with a revised fuzzy c-means (FCM) algorithm as a clustering approach. To compare these two methods, the r...