The impact of feature selection on clustering results.

<p>(A). Evaluation method: accuracy; Clustering method: k-means; Dataset: dataset 1; (B). Evaluation method: accuracy; Clustering method: SOM; Dataset: dataset 1; (C). Evaluation method: BF; Clustering method: k-means; Dataset: dataset 1; (D): Evaluation method: BF; Clustering method: SOM; Dataset: dataset 1; (E). Evaluation method: accuracy; Clustering method: k-means; Dataset: dataset 2; (F). Evaluation method: accuracy; Clustering method: SOM; Dataset: dataset 2; (G). Evaluation method: BF; Clustering method: k-means; Dataset: dataset 2; (H). Evaluation method: BF; Clustering method: SOM; Dataset: dataset 2.</p

The two datasets.

<p>The two datasets.</p

Selection of keywords by using lexicon chain technology (CNumber is the index of different lexicon chains).

<p>Selection of keywords by using lexicon chain technology (CNumber is the index of different lexicon chains).</p

The examples of some retrieved concept relevance records (in part. As some phrases records have been omitted here).

<p>The examples of some retrieved concept relevance records (in part. As some phrases records have been omitted here).</p

The extension at the word level.

<p>The extension at the word level.</p

An example for demonstrating the effect of semantic extension on document level.

<p>An example for demonstrating the effect of semantic extension on document level.</p

Clustering performance for different granularity and different blend factor.

<p>(A). Evaluation method: accuracy; Clustering method: k-means; Dataset: dataset 1; (B). Evaluation method: accuracy; Clustering method: SOM; Dataset: dataset 1; (C). Evaluation method: BF; Clustering method: k-means; Dataset: dataset 1; (D): Evaluation method: BF; Clustering method: SOM; Dataset: dataset 1; (E). Evaluation method: accuracy; Clustering method: k-means; Dataset: dataset 2; (F). Evaluation method: accuracy; Clustering method: SOM; Dataset: dataset 2; (G). Evaluation method: BF; Clustering method: k-means; Dataset: dataset 2; (H). Evaluation method: BF; Clustering method: SOM; Dataset: dataset 2.</p

The examples of first 6 topics discovered by gibbsLDA.

<p>The examples of first 6 topics discovered by gibbsLDA.</p

The LDA model.

<p>The LDA model.</p

Comparison of time consumed with or without semantic extension on dataset 1 (: S; *-A: without extension; *-B: with extension).

<p>Comparison of time consumed with or without semantic extension on dataset 1 (: S; *-A: without extension; *-B: with extension).</p