Hora 0.1.1, maybe the fastest AI similarity search algorithm library
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Similarity measure - Wikipedia
related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects
Similarity - Wikipedia
Chemical similarity Similarity (network science) Structural similarity Similar (film), an upcoming South Korean film All pages with titles containing
When Similarity Digest Meets Vector Management System: A Survey on Similarity Hash Functio…
The booming vector manage system calls for feasible similarity hash function as a front-end to perform similarity analysis. In this paper, we make a systematical survey on the existent well-known similarity hash functions to tease out the satisfied o...
SIMILARITY definition and meaning | Collins English Dictionary
If there is a similarity between two or more things, they are similar to each other. There was a very basic similarity in our philosophy. She is also 25 and a native of Birmingham, but the similarity ends there. …
Set Similarity Search Beyond MinHash
We consider the problem of approximate set similarity search under Braun-Blanquet similarity $B(\mathbf{x}, \mathbf{y}) = |\mathbf{x} \cap \mathbf{y}| / \max(|\mathbf{x}|, |\mathbf{y}|)$. The $(b_2, b_2)$-approximate Braun-Blanquet similarity search...
Similarity transformation - Wikipedia
Similarity transformation may refer to: Similarity (geometry), for shape-preserving transformations Matrix similarity, for matrix transformations of the
Self-similarity - Wikipedia
properties at many scales. Self-similarity is a typical property of fractals. Scale invariance is an exact form of self-similarity where at any magnification
tdebatty/java-string-similarity
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ... (⭐ 2736)
Musical similarity - Wikipedia
The notion of musical similarity is particularly complex because there are numerous dimensions of similarity. If similarity takes place between different
tensorflow/similarity
TensorFlow Similarity is a python package focused on making similarity learning quick and easy. (⭐ 1024)
shibing624/similarity
similarity: Text similarity calculation Toolkit for Java. 文本相似度计算工具包，java编写，可用于文本相似度计算、情感分析等任务，开箱即用。 (⭐ 1573)
SIMILARITY Definition & Meaning - Merriam-Webster
The meaning of SIMILARITY is the quality or state of being similar : resemblance. How to use similarity in a sentence. Synonym Discussion of Similarity.
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypoth…
We present a weight similarity measure method that can quantify the weight similarity of non-convex neural networks. To understand the weight similarity of different trained models, we propose to extract the feature representation from the weights of...
Measuring Semantic Similarity by Latent Relational Analysis
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a high degree of relational similarity, they are a...
Similarity of Semantic Relations
There are at least two kinds of similarity. Relational similarity is correspondence between relations, in contrast with attributional similarity, which is correspondence between attributes. When two words have a high degree of attributional similar...
Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Tra…
Patient similarity computation (PSC) is a fundamental problem in healthcare informatics. The aim of the patient similarity computation is to measure the similarity among patients according to their historical clinical records, which helps to improve...
Cosine similarity - Wikipedia
analysis, cosine similarity is a measure of similarity between two non-zero vectors defined in an inner product space. Cosine similarity is the cosine of the
Tokunaga and Horton self-similarity for level set trees of Markov chains
The Horton and Tokunaga branching laws provide a convenient framework for studying self-similarity in random trees. The Horton self-similarity is a weaker property that addresses the principal branching in a tree; it is a counterpart of the power-law...
Adaptive MapReduce Similarity Joins
Similarity joins are a fundamental database operation. Given data sets S and R, the goal of a similarity join is to find all points x in S and y in R with distance at most r. Recent research has investigated how locality-sensitive hashing (LSH) can b...