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In this paper, we propose a new clustering model, called DEeP Embedded Regularized ClusTering (DEPICT), which efficiently maps data into a discriminative embedding subspace and precisely predicts cluster assignments. DEPICT generally consists of a multinomial logistic regression function stacked on top of a multi-layer convolutional autoencoder. We define a clustering objective function using relative...
A method of feature extraction of parallel immune genetic clustering algorithm based on clustering center optimization is put forward which is using the characteristics of text. The different characteristics of between the features is give full consideration by this method, and the parallel and immune mechanisms genetic algorithm is used which can calculate clustering center of the feature. Comparative...
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