WebThe use of on-sensor phase detection pixels across the sensor and an improved prediction algorithm means focus can be achieved quickly and in a variety of imaging environments. The updated Face/ Eye Detection AF makes focusing on individuals or groups of people quickly and easily. WebK-means algorithm is employed to get the clustering results. Finally, according to the number of micro-blog forwarding and comments, the topic with the largest heat index is the current hot topic. The results show that compared with two traditional methods, the accuracy of the proposed method is improved by 7.3% and 1.1%, and the real-time …
基于改进K‒均值的微博热点话题发现方法
WebJun 18, 2024 · An improved version of K-means clustering algorithm that can be applied to big data through lower processing loads with acceptable precision rates is presented here. In this method, the distances from one point to its two nearest centroids were used along with their variations in the last two iterations. WebThen, the k-means algorithm is used to cluster different consumer groups, which in turn analyses the factors of concern to different consumer groups and makes targeted suggestions. Finally, to improve the effectiveness and robustness of the model, ensemble learning is introduced into the telecom customer churn field. fss 800.04 4 a
Early serum creatinine changes and outcomes in patients …
WebOct 18, 2024 · Due to the complex maritime environment, communication satellite signals are inevitably subjected to various unpredictable situations which results in the noisy signal. To tackle the fickle ocean environment, we propose a novel scheme to extract and identify the fingerprint feature of communication satellite signals. K -means clustering algorithm … WebImproved data cleaning processes by 20% by consulting with stakeholders and developing data collection processes. 4. ... 2. Used K Means Clustering algorithm for segregating the customers based on different parameters like Age, Gender & Annual income etc. 3. WebMay 29, 2011 · The K-Means clustering algorithm is proposed by Mac Queen in 1967 which is a partition-based cluster analysis method. It is used widely in cluster analysis for that … fss 794