Jupyter Notebook showing clustering with K-means algorithm. The KMeans algorithm clusters data by trying to separate samples in n groups of equal variance, minimizing a criterion known as the inertia ...

K Means Clustering is an unsupervised machine learning algorithm, which means there is no outcome to be predicted.The algorithm just tries to find patterns in data.We have to specify number of ...

We will focus our efforts mainly on K-means clustering and hierarchical clustering with consideration to the benefits and disadvantages of both and the choice of metrics like distance or linkage. We ...

Food spoilage is detected by using artificial intelligence, deep convolutional neural networks, and computer vision and machine learning algorithms like k clusters algorithm for color classifications ...

Food spoilage is detected by using artificial intelligence, deep convolutional neural networks, and computer vision and machine learning algorithms like k clusters algorithm for color classifications ...