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Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

Coding Poineer

摘要: 引入,在使用kaldi语音识别框架时,碰到 import scipy.cluster.vq as vq (centroids, labels) = vq.kmeans2(data, self.K, minit="points", iter=100) 距离类型 1.欧式距离 2.曼哈顿距离 3.切比雪 阅读全文
posted @ 2022-11-18 13:58 365/24/60 阅读(272) 评论(0) 推荐(0) 编辑