نتایج جستجو برای: similarity algorithms
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Intertemporal choices involve assessing options with different reward amounts available at time delays. The similarity approach to intertemporal choice focuses on judging how similar and delays are. Yet we do not fully understand the cognitive process of these judgments are made. Here, use machine-learning algorithms predict (1) investigate which best judgments, (2) assess predictors most usefu...
Many algorithms in machine learning, pattern recognition, and data mining are based on a similarity/distance measure. For example, the kNN classifier and clustering algorithms such as k-means require a similarity/distance function. Also, in Content-Based Information Retrieval (CBIR) systems, we need to rank the retrieved objects based on the similarity to the query. As generic measures such as ...
Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...
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