We present a new regular grid search algorithm for quick fixed-radius nearest-neighbor lookup developed in Python. This module indexes set of k-dimensional points grid, with optional periodic conditions, providing fast approach nearest neighbors queries. In this first installment, we provide three types queries: bubble, shell and the nth-nearest. For these queries include different metrics inte...

Teknologi informasi yang semakin berkembang membuat data dihasilkan turut tumbuh menjadi big data. Data tersebut dapat dimanfaatkan dengan disimpan, dikumpulkan, dan ditambang sehingga menghasilkan pengetahuan bernilai. Penambangan merupakan proses menerapkan algoritma machine learning untuk mengekstraksi dari Prediksi bentuk penambangan mendapatkan di masa depan sebelumnya. saham PT Aneka Tamb...

We consider clusters formed by points randomly distributed in space, each point being connected to its nearest neighbor or to its nearest and next nearest neighbors. The size distribution of such clusters in n-dimensional space is presented.